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Awesome

An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with model-training

A curated list of projects in awesome lists tagged with model-training .

https://github.com/JoePenna/Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

ai artificial-intelligence image-generation img2img latent-diffusion machine-learning model-training stable-diffusion txt2img

Last synced: 16 Apr 2025

https://github.com/joepenna/dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

ai artificial-intelligence image-generation img2img latent-diffusion machine-learning model-training stable-diffusion txt2img

Last synced: 14 May 2025

https://github.com/HuaizhengZhang/Awesome-System-for-Machine-Learning

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

ai-infra genai large-language-models llmsys mlsys model-serving model-training

Last synced: 09 Apr 2025

https://github.com/Unity-Technologies/Robotics-Object-Pose-Estimation

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

autonomy computer-vision deep-learning machine-learning manipulation model-training motion-planning perception physics-simulation pose-estimation robotics robotics-simulation ros simulation synthetic-data trajectory-generation tutorial unity ur3-robot-arm urdf

Last synced: 23 Jun 2026

https://github.com/unity-technologies/robotics-object-pose-estimation

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

autonomy computer-vision deep-learning machine-learning manipulation model-training motion-planning perception physics-simulation pose-estimation robotics robotics-simulation ros simulation synthetic-data trajectory-generation tutorial unity ur3-robot-arm urdf

Last synced: 06 Apr 2025

https://github.com/prabhuomkar/bitbeast

Experiments with Model Training, Deployment & Monitoring

machine-learning model-deployment model-monitoring model-training

Last synced: 10 Mar 2026

https://github.com/medoidai/skrobot

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning open-source predictive-modelling python scikit-learn

Last synced: 02 Aug 2025

https://github.com/sayakpaul/ci-cd-for-model-training

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

ci-cd cloud-build cloud-functions cloud-scheduler gcp kubeflow-pipelines mlops model-training pub tensorflow-extended vertex-ai

Last synced: 06 May 2025

https://github.com/matlab-deep-learning/hyperparameter-tuning-in-matlab-using-experiment-manager-and-tensorflow

This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.

co-execution deep-learning example hyperparameter-tuning matlab model-training python tensorflow

Last synced: 07 May 2025

https://github.com/olamide100/capstone-project-mlops-zoomcamp

This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.

cloud-computing datatalksclub house-price-prediction machine-learning mlops model-monitoring model-training orchestration

Last synced: 13 Apr 2025

https://github.com/phineas-pta/speech-synthesis-ngngngan

python script to download & process data to train a speech-synthesis model of Vietnamese M.C. Nguyễn Ngọc Ngạn

data-processing deep-learning matcha-tts model-training pytorch rvc training-data vietnamese vits2

Last synced: 23 Jun 2025

https://github.com/vidhi1290/machine-learning-pipeline

Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! 📊🚀"

data-analysis feature-engineering feature-selection jupyter jupyter-notebook machine-learning machine-learning-algorithms machine-learning-pipeline model-training new-dataset opensource python

Last synced: 10 Apr 2025

https://github.com/animikhaich/no-code-classification-toolkit

Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.

classification classsifier cnn cnn-classification convolutional-neural-networks dashboard deep-learning image image-classification keras model-training no-code nocode streamlit-application streamlit-dashboard tensorflow trainer zero-code

Last synced: 10 Apr 2025

https://github.com/sminerport/sequencepredictionann

Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.

artificial-neural-networks data-prep deep-learning machine-learning model-evaluation model-training neural-network numpy python scikit-learn sequence-prediction supervised-learning time-series-forecasting

Last synced: 03 Apr 2025

https://github.com/priyansh-narang2308/mindforge

Turn your photos into professional-grade portraits with MindForge. Whether you need a sharp LinkedIn headshot or a polished personal photo, MindForge makes it simple. Upload your images, train your AI model, and create stunning results in minutes.

ai ai-photos flux fullstack model-training nextjs15-typescript queries-database replicate sass stripe-payments supabase-auth supabase-db tailwindcss

Last synced: 15 Sep 2025

https://github.com/ai-dock/onetrainer

OneTrainer docker images for use in GPU cloud and local environments. Includes AI-Dock KDE Plasma desktop with GPU acceleration and audio for authentication and improved user experience.

cloud docker gpu image-generation model-training onetrainer runpod stable-diffusion training vast

Last synced: 18 Sep 2025

https://github.com/murapadev/phinetuning

A repository dedicated to finetuning phi2 models using advanced machine learning techniques. This includes training scripts, model evaluation methods, and data processing tools.

deep-learning finetuning machine-learning model-training models natural-language-processing nlp phi2 python pytorch transformers

Last synced: 26 Dec 2025

https://github.com/saberglow/deja-vu

🎯 A facial recognition/detection app with Angular using Microsoft's Face API

angular azure-cognitive-services face-api face-detection mdbootstrap model-training

Last synced: 30 Apr 2025

https://github.com/nafisalawalidris/predicting-credit-card-approvals

Explore credit card approval prediction through data analysis and machine learning. Preprocess data, train logistic regression models, and optimize hyperparameters. Learn data preprocessing, feature engineering, model training, and evaluation. Dive into the world of machine learning with Python and popular libraries.

approval-prediction credit-card data-analysis data-preprocessing feature-engineering hyperparameter-optimization libraries logistic-regression machine-learning model-evaluation model-training python python3

Last synced: 19 Apr 2025

https://github.com/mehditeymorian/othello-game

Implementation of Othello game with model training using evolutionary algorithms

ai evolutionary-algorithms genetic-algorithm genetic-programming model-training

Last synced: 13 Feb 2026

https://github.com/brkcvlk/mlfcrafter

ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code. Build production-ready ML workflows in minutes, not hours.

ai automation automl beginner-friendly data-processing data-science framework library machine-learning ml-framework mlops model-training pipeline production-ready python python3 scikit-learn toolkit workflow xgboost

Last synced: 14 Jan 2026

https://github.com/residentmario/fahr

Run remote machine learning model training jobs right from the command line.

aws-sagemaker cli machine-learning model-training python

Last synced: 12 Apr 2025

https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning

Last synced: 11 Jan 2026

https://github.com/aliciusschroeder/leagueofpredictions

ML model predicting League of Legends match outcomes with 87.9% accuracy pre-game. Outperforms 50% ELO baseline utilizing historic match data and machine learning.

data-collection data-science elo-rating-system game-prediction game-strategy league-of-legends machine-learning model-training model-validation predictive-analytics python riot-games riot-games-api

Last synced: 10 Feb 2026

https://github.com/asheswook/visagesnap

Easy-to-Use library to recognize faces, train the model, provide predictions

deep-learning face-recognition machine-learning model-training python semi-supervised-learning sklearn supervised-learning

Last synced: 07 Oct 2025

https://github.com/sayamalt/liver-cirrhosis-stage-prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation-metrics model-training multiclass-classification supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/ksm26/embedding-models-from-architecture-to-implementation

Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.

ai-applications ai-architecture bert bert-embeddings bert-fine-tuning bert-model contrastive-loss dual-encoder embedding-models machine-learning model-training question-answer-retrieval rag-systems semantic-search sentence-embeddings transformer-models word-embeddings word2vec

Last synced: 25 Jul 2025

https://github.com/nuraj250/ai-model-building-with-dl4j

A Java Spring Boot application that uses DL4J (Deeplearning4j) to build and train an AI model for predicting player suitability. It supports CRUD operations with MySQL and automatically replaces the trained model whenever performance data is updated.

ai backend deeplearning4j dl4j-library java java-ai machine-learning model-training mysql neural-network spring-boot

Last synced: 02 May 2026

https://github.com/abhinavsharma07/kaggle-comp.

A repository showcasing solutions to Kaggle competitions with end-to-end workflows in machine learning and data science.

data-preprocessing datascience deeplearning feature-engineering kaggle machinelearning model-evaluation model-training predictive-modeling

Last synced: 26 Feb 2026

https://github.com/theandreyzakharov/urbanflow-ai

🚦🗺️ UrbanFlow AI is a web app for generating 3D traffic simulations from real OpenStreetMap areas. It builds SUMO scenarios, runs microscopic vehicles, pedestrians, buses and trams, edits road events, controls real traffic lights with TraCI, trains JSON AI policies, saves models, and shows live metrics, charts, and notebooks.

ai ai-control ai-model ai-tools city-modelling map model model-training openstreetmap osm smart-city sumo traffic traffic-analysis traffic-control traffic-light traffic-management traffic-monitoring traffic-simulation urban-planning

Last synced: 30 Jun 2026

https://github.com/yvolk/personsmerger

Real life deep learning trained models to identify same person's records coming from different systems. Evolutionary algorithm to train models. With Test cases and sample trained models. Run tests to see learning and trained models in action. Written in Kotlin.

deep-learning evolutionary-algorithm kotlin model-training

Last synced: 19 Jul 2025

https://github.com/annikav9/cat-dataset

A dataset of 29843 cat pictures (64x64), compiled together for training models.

cats dataset model-training

Last synced: 10 Jun 2025

https://github.com/1homsi/emotion-detection-python

This is a web app (using eel-python) that is used to detect emotions using deep learning. This web app can also train a model.

eel eel-python emotion-detection facedetection machine-learning model-training opencv python3

Last synced: 25 Feb 2025

https://github.com/rabbitlin-web/smart-crop-tool

Designed for AI training. Upload Grid puzzles, align, slice, and batch export assets with one click. It can be manually dragged and dropped or manually entered,

ai-tools gridpicture-cropping image-cropping image-slicer lora marking-material-processing model-training stable-diffusion

Last synced: 24 Dec 2025

https://github.com/sreeeswaran/train-your-llm

This repository contains code and resources for training, fine-tuning, and deploying large language models using Hugging Face's Transformers library.

artificial-intelligence deep-learning language-model large-language-model large-language-models llm llm-training llms machine-learning model-training nlp pretrained-language-model pretrained-models training

Last synced: 13 Jul 2025

https://github.com/satvikpraveen/lightningmasterpro

Comprehensive PyTorch Lightning framework featuring 20+ educational notebooks, advanced ML patterns, and production-ready workflows. Covers vision, NLP, tabular, and time series domains with distributed training, mixed precision, custom loops, and deployment pipelines. Complete with synthetic data generators and testing.

artificial-intelligence computer-vision data-science deep-learning distributed-training gradient-accumulation machine-learning mixed-precision mlops model-deployment model-training natural-language-processing neural-networks onnx-export python pytorch pytorch-lightning tabular-data time-series torchscript

Last synced: 06 May 2026

https://github.com/amithkoujalgi/llama3-playground

A fully-contained, ready-to-run environment to finetune Llama 3 model with custom dataset and run inference on the fine-tuned models

fine-tune fine-tuning finetune finetuning gen-ai genai generative-ai language-model large-language-models llama llama3 llm model-finetuning model-training ocr pdf-ai playground training

Last synced: 27 Jan 2026

https://github.com/rasyosef/text-embedding-models-training

Notebooks to train and evaluate Amharic Text Embedding Models based on BERT and RoBERTa for Passage Retrieval

bert embedding-models embeddings huggingface model-training roberta sentence-transformers transformers

Last synced: 05 Oct 2025

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 20 Jan 2026

https://github.com/amirhosseinhonardoust/rag-vs-fine-tuning

A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.

ai ai-research data-science deep-learning fine-tuning generative-ai hybrid-ai langchain large-language-models llm machine-learning mlops model-training natural-language-processing nlp openai rag retrieval-augmented-generation transformers vector-database

Last synced: 03 May 2026

https://github.com/mileristovski/machinelearning-workbench

Une API pour expérimenter et comparer des algorithmes de Machine Learning à partir de fichiers CSV

ai data-science machine-learning machine-learning-algorithms model-training python

Last synced: 29 Mar 2025

https://github.com/savinrazvan/traffic

This project aims to develop a neural network using TensorFlow to classify traffic signs from images, utilizing the German Traffic Sign Recognition Benchmark (GTSRB) dataset.

ai cnn data-augmentation data-preprocessing deep-learning gtsrb image-recognition machine-learning model-evaluation model-training opencv tensorflow traffic-sign-classification

Last synced: 06 May 2026

https://github.com/lucianoscarpaci/resnet18-evaluation-pytorch

This project demonstrates how to fine-tune a pre-trained ResNet18 model using PyTorch for binary classification. This model is adapted to identify images in two classes Positive and Negative.

binary-classification data-preprocessing fine-tuning image-classification model-evaluation model-training neural-networks performance-metrics pre-trained-models pytorch resnet-18 transfer-learning

Last synced: 21 May 2026

https://github.com/stevehoober254/ai-portfolio

🧠 LLM pipelines, model training notebooks, and real-world AI/ML deployments with testing

ai deep-learning huggingface llm machine-learning mlops model-training notebooks pytorch transformers

Last synced: 04 Nov 2025

https://github.com/sergio11/headline_generation_lstm_transformers

Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.

deep-learning lstm lstm-model lstm-neural-networks model-comparison model-training model-training-and-evaluation natural-language-processing text-generation text-vectorization transformers

Last synced: 02 Apr 2025

https://github.com/pmady/llmops

🚀 The Ultimate Curated List of LLMOps Tools, Frameworks, and Resources - A comprehensive collection of the best tools for Large Language Model Operations

ai-tools artificial-intelligence awesome-list deep-learning generative-ai huggingface inference langchain large-language-models llm llmops machine-learning ml-tools mlops model-serving model-training openai prompt-engineering rag vector-database

Last synced: 01 Feb 2026

https://github.com/mwasifanwar/llm-mastery

The most comprehensive educational resource on Large Language Models ever created. A guide systematically building understanding from absolute fundamentals to cutting-edge research.

ai-education artificial-intelligence attention-mechanism deep-learning fine-tuning huggingface large-language-models llm machine-learning model-deployment model-training neural-networks nlp pre-training pytorch research-paper transformer transformer-architecture

Last synced: 16 Apr 2026

https://github.com/michaelholm6/yoloez

An all-in-one GUI tool for labeling, training, and running YOLO11 models. Built with Python and Ultralytics, this tool simplifies dataset creation, model training, and inference.

computer-vision data-labeling deep-learning-tool gui-application image-annotation inference model-training object-detection python ultralytics yolo

Last synced: 06 Feb 2026

https://github.com/qtle3/simple-linear-regression

A Python script that implements a simple linear regression model to predict employee salaries based on years of experience, with predictions for mid-level and senior-level roles.

coefficients-and-intercept data-handling model-training prediction visualization

Last synced: 14 Oct 2025

https://github.com/tynoee/loan-approval-prediction

This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.

classifiers css data-transformation flask-application google-colab html jupyter-notebook logistic-regression machine-learning model-training sqlite3

Last synced: 24 Apr 2026

https://github.com/shyamkumarnagilla/big-sales-prediction

The "Big Sales Prediction" model is a machine learning project that aims to accurately forecast sales for a given period. The model utilizes the Random Forest Regressor algorithm, a powerful ensemble learning technique, to analyze historical sales data and make predictions. It can be valuable for businesses looking to optimize sales forecasting.

data-analytics data-preprocessing data-science data-visualization machine-learning model-evaluation model-training

Last synced: 09 May 2026

https://github.com/shubhamdeepkeshav/project-ineuron-

Classify mushrooms as 🍄 edible or poisonous 🚫 using machine learning 🤖. This project includes data preprocessing, training various models (Logistic Regression, Decision Tree, SVM, etc.) 🏋️, and evaluating performance with metrics and visualizations 📊. Perfect for learning classification and model comparison.

data-preprocessing data-science feature-engineering ineuron machine-learning model-evaluation model-training mushroomclassification visualization

Last synced: 09 May 2026

https://github.com/deaneeth/churn-prediction-model-training

Step-by-step guide to building machine learning models for customer churn prediction, continuing from the data preprocessing phase. The repo covers training, evaluation, and saving of models, with weekly updates.

churn-prediction data-science-projects jupyter-notebook machine-learning model-evaluation model-training model-training-and-evaluation python scikit-learn

Last synced: 11 May 2026

https://github.com/mohsinraza2999/house-price-prediction

Predicts residential house prices using structured data and a PyTorch-based deep learning model, built with production-ready ML engineering practices including testing, Dockerization, CI, and API-based inference.

ci configuration-files dataloader deep-learning docker fastapi logging model-evaluation model-training modeling modular-architecture modular-programming python3 pytorch test-driven-development

Last synced: 14 Jun 2026

https://github.com/jv456/network-security-system

This project is about creating a powerful network security system using machine learning and cloud technologies.

data-ingestion data-transformation data-validation extract-transform-load model-evaluation model-training

Last synced: 14 May 2026

https://github.com/rb-thompson/machine-learning-basics

Implement a machine learning pipeline on the Iris flower dataset.

data-preprocessing data-visualization model-training python scikit-learn

Last synced: 18 Jun 2026

https://github.com/imannoferesti/tensorflow_deepdive

This repository is a testament to my growth and understanding of deep learning. It highlights foundational skills in TensorFlow, demonstrates hands-on applications like car price prediction, and culminates in an advanced medical imaging project for malaria diagnosis.

cnn convolutional-neural-networks custom-loss-functions cutmix data-augmentation deep-learning functional-api linear-regression machine-learning mixup model-evaluation model-training neural-networks resnet sequential-api tensorboard tensorflow tensors

Last synced: 04 Apr 2025

https://github.com/pjaiswalusf/heart-failure-prediction

A machine learning project predicting heart failure risk using Random Forest and XGBoost. It involves data cleaning, feature engineering, and EDA before training. The best model is saved using Joblib. Key techniques: outlier detection, feature scaling, and optimization.

data-processing data-visualization feature-engineering machine-learning model-training optimization random-forest-classifier saving-model xgboost

Last synced: 07 Mar 2026

https://github.com/nurulashraf/svm-iris-flower-classification

SVM classifier for Iris flower dataset. Trains, evaluates, and saves a model to classify Setosa, Versicolor, and Virginica species based on petal and sepal measurements. Built with Python, scikit-learn, and Jupyter Notebook.

classification data-science iris-dataset machine-learning model-training supervised-learning svm

Last synced: 06 May 2025

https://github.com/erolkuluslu/image_classifier

This project provides a comprehensive solution for image processing, smart cropping, image embeddings, feature extraction, dataset cleaning, and model training and inference using PyTorch. Additionally, it includes a Gradio-based web application for easy interaction with the trained model.

conda conda-environment gradio-python-app image-processing model-training python pytorch torch

Last synced: 04 May 2026

https://github.com/ksm26/carbon-aware-computing-for-genai-developers

Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.

carbon-aware-computing carbon-footprint carbon-intensity clean-energy cloud-computing electricitymaps energy-efficient-ml environmental-impact genai google-cloud green-computing low-carbon-energy machine-learning-optimization model-training real-time-electricity-data sustainable-ai

Last synced: 28 Mar 2025

https://github.com/mohammedsaqibms/regularization

This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.

deep-learning dropout-regularization gradient-descent l2-regularization model-training neural-network-architecture overfitting-prevention performance-optimization regularization-techniques

Last synced: 18 Mar 2025

https://github.com/farukseker/ml-spam-detection-api

🚀 A FastAPI-powered project that uses a trained ML model to classify incoming emails as spam 🛑 or ham 📧 in real-time. Supports CSV batch processing 📂, multi-query input 🔄, and detailed logging with usage stats 📊.

fastapi machine-learning model-extraction model-train model-training predict-api prediction prediction-api prediction-model skicit skicit-learn

Last synced: 18 May 2026

https://github.com/muavia1/code-to-psuedocode-generation-using-transformers-architecture-using-pytorch

Code2PseudoCode is a transformer-based deep learning model that translates programming code into human-readable pseudocode. This project aims to assist developers, students, and educators by providing a structured way to understand complex code through natural language.

code-generation deep-learning model-training psuedocode transformers

Last synced: 21 Mar 2025

https://github.com/shinjimc/parallel-cnn-cudnn-gpu

Repository showcasing a Convolutional Neural Network (CNN) optimized for parallel execution on GPU using cuDNN, with comprehensive scripts for dataset distribution, model training, validation, and testing.

computer-vision convolutional-neural-networks cudnn data-preprocessing deep-learning gpu-acceleration image-recognition machine-learning model-training tensorflow

Last synced: 19 May 2026

https://github.com/youssef-saaed/activity-recognition-using-various-ml-algorithms

This project involves a comprehensive comparative analysis of various machine learning models to classify activities based on a given dataset. The analysis follows a structured approach, including data exploration, model training, model evaluation, and results interpretation to identify the best performing model.

activity-recognition comparative-analysis cross-validation data-exploration data-visualization machine-learning model-evaluation model-training neural-networks

Last synced: 22 Mar 2025

https://github.com/tukue/mlops-model-ci-cd

A complete MLOps pipeline demonstrating machine learning model training, deployment, and continuous integration/continuous deployment practices using FastAPI, scikit-learn, and automated workflows.

llmops mlops model-monitoring model-training observability

Last synced: 07 Mar 2026

https://github.com/mohammedsaqibms/convolution_model_application

CNN TensorFlow image classification deep learning forward propagation cost optimization model training dataset preprocessing

convolutional-neural-networks cost-optimization dataset-preprocessing deep-learning forward-propagation image-classification model-training tensorflow2

Last synced: 21 Jun 2025

https://github.com/payalmh5/emotionrecognition

Emotion Recognition in Speech: This project leverages advanced machine learning techniques to classify emotions from speech using the Toronto Emotional Speech Set (TESS). By extracting Mel-Frequency Cepstral Coefficients (MFCC) and utilizing an LSTM-based deep learning model, the project accurately identifies emotions like anger, happiness, and sad

data-science deep-learning emotion-recognition keras lstm mfcc model-development model-training

Last synced: 30 Sep 2025

https://github.com/muavia1/roman-urdu-poetry-generation-using-lstm

Here’s a short description you can add to your GitHub project: Roman Urdu Poetry Generator A deep learning project using LSTM and TensorFlow to generate Roman Urdu poetry. Trained on a poetry dataset and deployed with a Gradio interface for interactive text generation.

deep-learning gradio gradio-interface lstm model-training numpy pandas poetry-generator python tensorflow

Last synced: 09 Apr 2026

https://github.com/ismailhakkii/data_visualization

Yapay veri seti oluşturma, veri görselleştirme, veri setini eğiltme, test, lojistik regresyon ve modelin değerlendirilmesi.

data-set-creation data-visualization logistic-regression model-training

Last synced: 24 Apr 2026

https://github.com/abdulbasit110/animal-mood-and-movement-detection

A project for animal detection using Haar Cascade and YOLO, mood analysis from audio with a custom model, and movement tracking via BFS and DFS. Includes datasets, scripts, and models for implementation.

animal-detection machine-learning model-training mood-detection movement-detection python

Last synced: 09 Apr 2026

https://github.com/zaibten/helmet-detection-using-machine-learning-deep-learning

This project focuses on a real-time Helmet Detection System to ensure road safety by identifying riders who are not wearing helmets. Integrated with a Flutter application, it provides an automated system for issuing challans (e-tickets) and capturing images of the rider and their number plate for record-keeping.

dataset flutter googlecolab jupyter-notebook machine-learning mobile-app model-training opencv python realtime-detection tensorflow yolov8

Last synced: 09 Apr 2026

https://github.com/nhanphamthanh-it/handwritten-digits-classification

✏️ An AI-driven web app for handwritten digit recognition using the MNIST dataset. It leverages TensorFlow for deep learning model training and Gradio to create an intuitive, interactive UI. Users can draw digits and receive instant predictions, showcasing practical AI deployment and real-time inference capabilities.

artificial-intelligence classification dataset deep-learning gradio gradio-interface handwritten-digit-recognition jupyter-notebook learning-materials machine-learning mnist model-training network-layer neural-network open-source python realtime-rendering tensorflow web-application

Last synced: 05 Aug 2025

https://github.com/sapiensdata/analytics

🚀 SapiensData Analytics – The AI-powered backend for data science, machine learning, and model training, to drive financial insights and IoT analytics.

data-science iot machine-learning model-training python

Last synced: 09 Nov 2025

https://github.com/imannoferesti/emotion_ai_python

Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.

automated-monitoring computer-vision convolutional-neural-networks data-normalization data-scaling dataset-visualization deep-learning emotion-classification emotion-detection expression-recognition facial-expressions facial-key-point-detection image-augmentation image-processing key-point-prediction model-deployment model-training residual-blocks resnet tensorflow-serving

Last synced: 24 Aug 2025

https://github.com/kwame-mintah/aws-lambda-model-training

A lambda function split preprocessed data into training and validation used for starting a training job within AWS SageMaker.

aws aws-lambda model-training python python311 sagemaker

Last synced: 09 Jul 2025