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

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/aymen016/film-recommendation-engine

A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.

flask numpy pandas pickle python scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 11 Apr 2026

https://github.com/vedanty3/heart-disease-prediction

This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)

confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery

Last synced: 09 Apr 2026

https://github.com/kaushiksk/ml-kaggle-titanic-data

Application of various Machine Learning Algorithms and Optimization techniques to make Prediction on the Titanic Dataset at Kaggle.com

kaggle machine-learning pandas scikit-learn

Last synced: 05 May 2026

https://github.com/malleswarigelli/real_estate_house_price_prediction

Build end-to-end ML Regression pipeline for predicting housing price, deploy Flask app to cloud platform:Heroku with Docker, CI/CD tool: GitHub Actions

ci-cd-pipeline docker heroku-deployment machine-learning mlops mongodb python scikit-learn

Last synced: 09 Apr 2026

https://github.com/labrijisaad/chefclub-data-internship

Repository showcasing my Data Engineer / Scientist internship at Chefclub, contributing to data infrastructure enhancement and fostering data-driven insights.

airflow chefclub data-engineering data-science gcp scikit-learn

Last synced: 28 Apr 2025

https://github.com/swaathi/cpt-recommendation

Collaborative Filtering using User-Item and Item-Item Models

collaborative-filtering numpy recommendation-system scikit-learn

Last synced: 08 May 2026

https://github.com/vidhi1290/text-classification-model-with-attention-mechanism-nlp

This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯

attention-mechanism deeplearning machine-learning nlp nltk numpy pandas python pytorch scikit-learn text-classification tqdm

Last synced: 06 Apr 2026

https://github.com/njorogepaul-moghul/iris_flower_app

This app classifies Iris flowers into species based on their sepal and petal measurements using trained machine learning models. Users can input measurements and get instant predictions.

iris-classification logistic-regression machine-learning python random-forest-classifier scikit-learn

Last synced: 17 May 2026

https://github.com/dustinmichels/bayesian-values-guesser

Uses some user input, data from the World Values Survey <www.worldvaluessurvey.org>, and Bayes Rule to guess a number of beliefs the user might have. STATUS: In progress.

bayes-rule bayesian-values-guesser naive-bayes-classifier pandas python scikit-learn values-survey

Last synced: 09 Apr 2026

https://github.com/gaurav9364/credit-card-fraud-detection

Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).

googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 08 Apr 2026

https://github.com/PFS-AI/PFS

The AI-powered desktop tool for finding, classifying, and understanding your files. Search by keyword, ask questions, and get insights from your scattered files instantly.

ai cross-platform data-science document-classification fastapi file-management file-organizer file-search huggingface-transformers knowledge-management langchain machine-learning productivity-tools rag scikit-learn search-engine semantic-search vector-search

Last synced: 30 Dec 2025

https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening

A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.

aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/rusiruchapana/blood-group-prediction

Creating a machine learning project to predict blood groups from fingerprint patterns

asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/wesleyscholl/ai-sommelier

🤵🏻‍♂️🍷 An AI-powered wine recommendation system that helps customers find the perfect bottle based on taste preferences, grape varietals, food and cheese pairings, or mood. 🍇 🍝 🧀

ai artificial-intelligence embeddings gemini llm machine-learning python recommendation-system retreival scikit-learn semantic-search streamlit torch transformers wine

Last synced: 17 Feb 2026

https://github.com/ki3mono/naive_bayes_classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 06 May 2026

https://github.com/aaa1928/iris-ml-classifier

PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.

deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn

Last synced: 05 Apr 2026

https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction

Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.

breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn

Last synced: 17 May 2026

https://github.com/ayushshahh/fespn

A neural network made to predict final exam scores of students

mlp mlp-regressor multilayer-perceptron neural-network prediction-model scikit-learn

Last synced: 02 May 2026

https://github.com/official-biswadeb941/ClopiMedi---Your-Healths-Trusted-Care

ClopiMedi is an AI-driven healthcare application that simplifies doctor appointment bookings, offering personalized recommendations based on medical conditions to enhance patient-provider connections.

adam ai flask flask-api flask-api-backend full-stack-web-development joblib machine-learning scikit-learn tensorflow

Last synced: 28 Mar 2025

https://github.com/aryansk/mnist-deep-learning-exploration

This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.

keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/oneapi-src/product-recommendations

AI Starter Kit for product recommendation system using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 04 Apr 2025

https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players

A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 01 Jul 2025

https://github.com/matsunagalab/tutorial_analyzingmddata

Google colab notebooks for typical MD trajectory analysis routines with Python

mdtraj molecular-dynamics scikit-learn tutorial

Last synced: 20 Apr 2026

https://github.com/Zen204/airbnb-availability

A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.

binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning

Last synced: 02 Apr 2025

https://github.com/oneapi-src/credit-card-fraud-detection

AI Starter Kit for Credit Card Fraud Detection model using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 04 Apr 2025

https://github.com/srujayreddy/selling-laptops

Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.

customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn

Last synced: 12 Apr 2026

https://github.com/uhstray-io/pystockbot

Platform & exchange agnostic Stock, Crypto, and Asset automated Machine Learning & AI Trading Bot

automation docker machine-learning python scikit-learn statistical-analysis trading-algorithms

Last synced: 13 Aug 2025

https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-

Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.

hackathon-project machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/xharshit/careerconnect-smart-campus-placement-portal

CareerConnect is an AI-powered campus placement portal that helps students prepare for jobs through smart aptitude and coding tests, mock interviews, resume analysis, and more — all monitored with face recognition-based proctoring. Designed to assist students, TPOs, and companies for seamless hiring and tracking.

aptitude artificial-intelligence css face-recognition html machine-learning mockinterview nodejs opencv python resume-builder resumescanner scikit-learn streamlit technical-test tensorflow

Last synced: 13 Apr 2026

https://github.com/tharindanimnajith/deep-learning-spam-detection

Deep Learning classifiers to detect spam SMS messages - LSTM Model, DenseNet CNN Models - NLP, Python, Jupyter Notebook, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Scikit-Learn

deep-learning densenet keras lstm nlp python3 scikit-learn tensorflow

Last synced: 05 Apr 2026

https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification

A university project in which the binary classification of support vector machines is implemented with Python language

binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm

Last synced: 07 Apr 2026

https://github.com/nordszamora/sentiment

This ML project is used to predict the text sentiment positive, negative or neutral. Its used a Reddit dataset in kaggle to train the model and make a prediction on new/unseen data.

django joblib kaggle naive-bayes-classifier pandas python redditdata scikit-learn

Last synced: 11 Apr 2026

https://github.com/stitchsages/implyo

An advanced imputation library compatible with mixed type data with a focus on performance and high accuracy, with advanced imputation algorithms for numeric and categorical variables.

imputation imputation-algorithm imputation-methods knn machine-learning pandas pandas-dataframe pip python python3 random-forest scikit-learn

Last synced: 23 Jun 2026

https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app

The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.

data-science eda html machine-learning numpy pandas python scikit-learn

Last synced: 06 Apr 2026

https://github.com/2003harsh/house-price-prediction-using-machine-learning

This project features a web app that predicts house prices using a linear regression model. Users can input details like location, square footage, bathrooms, and bedrooms through an HTML form. I've added a CI/CD pipeline with GitHub Actions, unit testing with pytest, and automated Docker containerization to improve deployment and robustness.

ci-cd data-analysis docker-image flask linear-regression machine-learning matplotlib mlops-workflow requests scikit-learn

Last synced: 04 Jan 2026

https://github.com/yvesemmanuel/machine_learning

Implements data problems solved with machine learning algorithms.

data-science keras keras-tensorflow linear-algebra machine-learning neural-network python scikit-learn

Last synced: 09 Apr 2026

https://github.com/palak-463/tablataalrecognitionsystem

Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️

cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn

Last synced: 11 Apr 2026

https://github.com/vidhi1290/zomato-data-analysis

Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!

data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis

Last synced: 11 Apr 2026

https://github.com/skekre98/picture-compressor

A tool for compressing images using unsupervised machine learning

kmeans-clustering scikit-learn

Last synced: 17 May 2026

https://github.com/fadlyhts/klasifikasistuntingbalita

Sistem Klasifikasi Status Stunting menggunakan Machine Learning untuk mendeteksi status gizi balita berdasarkan BB/U, TB/U, dan BB/TB. Dibangun dengan Python, Flask, dan Scikit-learn.

child-health data-science flask healthcare indonesia-healthcare machine-learning medical-informatics python scikit-learn stunting-classification

Last synced: 20 Mar 2025

https://github.com/michael-insights/portfolio

This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.

data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql

Last synced: 11 Apr 2026

https://github.com/rizz1406/spam-email-detector

Spam Email Classifier using Python and Streamlit A simple machine learning project that classifies emails as **spam** or **ham** using the **Naive Bayes algorithm** and **TF-IDF** for text feature extraction. The project includes a user-friendly web app built with Streamlit

nlp pandas pytho3 scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/nekruzash/regression-correlation

This is from CS2023 - AI/DS/ML class, trained a model based on different categories of data and predicted using a linear regression for the best feature that has the greatest effect on the housing prices.

jupyter-notebook python scikit-learn

Last synced: 04 May 2026

https://github.com/mhmudfzli/exploring-mental-health-data

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost

Last synced: 09 Apr 2026

https://github.com/troublem1/mle

MultiLabel-Transformer(MLE) is an extended version of a LabelEncoder, such that, it encodes multiple categorical columns to numeric in any workflow or pipeline

packages python3 scikit-learn sklearn

Last synced: 05 Jan 2026

https://github.com/takkii/rock_ptarmigan

[PyPi] Approximate value evaluation 📊

approximate keras pca rock-ptarmigan scikit-learn tensorflow

Last synced: 10 May 2026

https://github.com/hopquangdo/minisklearn

✨ A lightweight Python-from-scratch implementation of core Machine Learning algorithms inspired by scikit-learn.

machine-learning scikit-learn

Last synced: 09 Jul 2025

https://github.com/bhimrazy/iris-species-prediction-using-decision-tree-algorithm-grip

Iris Species Intelligence: Classifying Iris Species with Confidence using Decision Trees | The Sparks Foundation: GRIP

decision-tree-classifier fastapi gripjan23 machine-learning python scikit-learn sparkfoundation

Last synced: 10 Apr 2026

https://github.com/mirgis/plucky-playground

A modest collection of machine learning and deep learning algorithms, along with examples implemented in diverse toolkits.

bayes bayesian deep-learning examples ipynb keras machine-learning neural-network pandas playground python3 pytorch scikit-learn sklearn statistics tensorflow

Last synced: 13 Apr 2026

https://github.com/srikarveluvali/heart-disease-prediction-ml

This machine learning project aims to predict the presence or absence of heart disease in individuals based on a set of health-related features. By utilizing a dataset containing information about patients, we employ various machine learning techniques and data analysis to build a predictive model.

exploratory-data-analysis machine-learning python scikit-learn

Last synced: 04 May 2026

https://github.com/leabrodyheine/water-pump-status-prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

https://github.com/devspidr/ml-programs

A collection of foundational machine learning programs covering supervised and unsupervised algorithms, implemented using Python and libraries like scikit-learn, pandas, and matplotlib. Ideal for beginners and students learning core ML concepts through practical coding.

classification machine-learning-algorithms regression scikit-learn supervised-learning unsupervised-learning

Last synced: 30 May 2026

https://github.com/yancotta/anti-aging-epigenetics-ml-app

A thesis MVP for a personalized anti-aging system that analyzes genetic SNPs and lifestyle habits using ML models (Random Forest and Neural Networks) to provide risk assessments and actionable recommendations. Built with FastAPI, React, PostgreSQL, and containerized via Docker for scalability and explainability.

anti-aging bioinformatics docker explainable-ai fastapi genetics healthtech machine-learning mlops personalized-medicine pytorch reactjs scikit-learn synthetic-data thesis-project

Last synced: 16 Sep 2025

https://github.com/flysirin/adstextclassification

Classification of advertisements by topic

docker excel flask pandas python pytorch scikit-learn

Last synced: 02 Jan 2026

https://github.com/yessasvini23/deepfake_immunization_toolkit

🛡️ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.

blockchain matplotlib numpy opencv python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/felipeclarindo/energy-predict-api

Api para realizar previsões sobre energia.

api api-development api-rest flask pandas pickle python scikit-learn

Last synced: 13 Apr 2026

https://github.com/mayankmittal29/stockvision

Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.

keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api

Last synced: 07 Apr 2026

https://github.com/mdalamin5/machine-learning-2.0

Machine-Learning-2.0: A comprehensive repository documenting my journey to master ML from scratch. It includes core algorithms, advanced techniques, data preprocessing, feature engineering, and real-world projects. Follow my structured approach, inspired by "100 Days of ML," featuring Python implementations, tools, and insightful resources.

data-fetching-from-api datapreprocessing end-to-end-project feature-engineering gradient-descent-optimizers machine-learning-algorithms scikit-learn webscraping-data

Last synced: 21 Apr 2026

https://github.com/anudeepjonnada/phishshield-ai

🛡️ PhishShield AI – An intelligent phishing email detector that uses BERT and Machine Learning to identify phishing attempts in real time. Integrated with the Gmail API, powered by Flask, React, and MongoDB for secure full-stack email analysis and threat detection.

bert flask gmail-api mongodb oauth2 python react scikit-learn

Last synced: 13 Apr 2026

https://github.com/alexsomai/machine-learning-getting-started

Dummy examples and experiments to get started with Machine Learning

artificial-intelligence deep-learning machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/chrislemke/scikit-tabtrans

TabTransformer ready for Scikit learn 🧑‍🔬

deep-learning machine-learning python scikit-learn transformer

Last synced: 19 Apr 2025

https://github.com/machinelearningprodigy/covid-19-detection-system

It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.

algorithms feature-engineering flask machine-learning numpy pandas scikit-learn

Last synced: 20 Apr 2026

https://github.com/uea-geral/rna-perceptron-exercise

🤖Disciplina de RNA: treinamento de um neurônio Perceptron.

jupyter-notebook neural-network numpy perceptron python scikit-learn

Last synced: 13 Apr 2026

https://github.com/jswong65/machine_learning_nanodegree

Projects of Udacity Machine Learning nanodegree

machine-learning numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 11 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/aditya172926/text_summarization

Project to generate summaries and perform Named Entity Recognition from multiple types of text bodies.

glove machine-learning nlp python scikit-learn spacy

Last synced: 05 May 2026

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/pockerman/tech3python

Collection of Python based algorithms on numerics, statistics, control etc

algorithms control estimation kalman-filter machine-learning numerical-methods particle-filter python3 scikit-learn statistics

Last synced: 18 May 2026

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/pacatro/lse2text

Deep learning program that translates Spanish Sign Language (LSE) to text in real time.

ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation

Last synced: 11 Apr 2026

https://github.com/g-eoj/cv-tl-keras

Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.

cross-validation keras numpy scikit-learn transfer-learning

Last synced: 10 Apr 2026

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scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7