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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: 19 Dec 2024

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: 08 Nov 2024

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: 05 Nov 2024

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: 16 Dec 2024

https://github.com/prabhuomkar/bitbeast

Experiments with Model Training, Deployment & Monitoring

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

Last synced: 16 Nov 2024

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 modelling predictive-modelling python scikit-learn

Last synced: 27 Oct 2024

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: 23 Oct 2024

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 Nov 2024

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: 17 Nov 2024

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: 23 Nov 2024

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: 14 Oct 2024

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: 07 Nov 2024

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: 30 Sep 2024

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: 22 Nov 2024

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: 20 Nov 2024

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: 12 Nov 2024

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: 18 Dec 2024

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: 22 Nov 2024

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: 14 Dec 2024

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: 21 Dec 2024

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: 06 Dec 2024

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: 05 Nov 2024

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: 07 Nov 2024

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: 10 Nov 2024

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: 11 Nov 2024

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: 08 Dec 2024

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: 28 Nov 2024

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

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

cats dataset model-training

Last synced: 04 Dec 2024

https://github.com/shaheennabi/machine-learning-practices-and-mini-projects

🎉 Machine Learning Practices & Mini-Projects 🎉 This repository showcases my hands-on work with Exploratory Data Analysis (EDA), Feature Engineering, Model Training, and Testing. It includes mini-projects focused on regression, classification, and clustering, along with experiments in MLOps. 💻 Expect frequent updates

classification clustering exploratory-data-analysis feature-engineering machine-learning mlops model-evaluation model-training regression

Last synced: 04 Dec 2024

https://github.com/kavicastelo/car_simulation_machine_learning

Auto driving car simulation using neural networks and model training. Used html canvas for draw elements and javascript for train the model. not any third party libraries used.

javascript machine-learning model-training neural-networks simulation

Last synced: 04 Dec 2024

https://github.com/sayamalt/customer-churn-prediction

Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.

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

Last synced: 07 Nov 2024

https://github.com/muzamilofficial/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: 21 Dec 2024

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: 06 Nov 2024

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: 19 Nov 2024

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: 24 Nov 2024

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: 05 Dec 2024

https://github.com/raptorblingx/fastapi_ml_task

This project demonstrates a complete pipeline for building a machine learning model using XGBoost on sustainable energy data, integrated with a FastAPI-based REST API. The application allows users to upload data, train the model, and make predictions via API endpoints. Docker and PostgreSQL are used for containerization and data management.

api-development data-pipeline data-science docker docker-compose fastapi jupyter-notebook machine-learning model-training postgresql python rest-api sustainable-energy xgboost

Last synced: 19 Dec 2024

https://github.com/muskanmi/age-and-gender-prediction

This repository contains source code for an application used to predict Gender and Age of a Human.

age-gender-recognition bootstrap convolutional-neural-networks css datascience flask html jupyterlab machine-learning model-training python

Last synced: 05 Nov 2024

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: 11 Nov 2024

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: 11 Nov 2024

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: 14 Nov 2024

https://github.com/mgthetrain/python-yolo-training-with-jupyter-notebooks

Repository demonstrating how to train a custom CNN model based on yolo-v4-tiny architecture. This can be utilized for image classification, image localization or object detection applications.

cnn model-training python yolov4-tiny

Last synced: 13 Nov 2024

https://github.com/beenish-ishtiaq/dep-task-4-image-classification-cifar10

Developed a Convolutional Neural Network (CNN) model to classify images into 10 categories. The project includes data augmentation, model building, training, and evaluation.

cifar10 convolutional-neural-networks data-augmentation deep-learning dropout image-classification machine-learning model-training python regularization

Last synced: 12 Nov 2024