Most popular machine-learning repositories and open source projects

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

featexp

Feature exploration for supervised learning

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medicaltorch

A medical imaging framework for Pytorch

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kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster compet...

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Awesome-GANs

Awesome Generative Adversarial Networks with tensorflow

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notes

Notes On Using Data Science & Artificial Intelligence To Fight For Som...

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Android-TensorFlow-Lite-Example

Android TensorFlow Lite Machine Learning Example

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simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

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nodejs-dialogflow

Node.js client for Dialogflow: Design and integrate a conversational u...

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keras-attention

Visualizing RNNs using the attention mechanism

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ProjectFib

Chrome extension to flag fake news on Facebook. Built at HackPrinceton...

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MobileFace

A face recognition solution on mobile device.

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texar-pytorch

Integrating the Best of TF into PyTorch, for Machine Learning, Natural...

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pysc2-examples

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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markdown-syntax-zhtw

Markdown 語法說明中文版

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test-tube

Python library to easily log experiments and parallelize hyperparamete...

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tensorflow-tutorial

TensorFlow and Deep Learning Tutorials

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proteinnet

Standardized data set for machine learning of protein structure

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captcha-break

captcha break based on opencv2, tesseract-ocr and some machine learnin...

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mlhub123

机器学习&深度学习网站资源汇总（Machine Learning Resources）

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stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

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just-pandas-things

An ongoing list of pandas quirks

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MLPB

Machine Learning Problem Bible | Problem Set Here >>

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JSAT

Java Statistical Analysis Tool, a Java library for Machine Learning

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deeplearning-guide

An evolving guide to learning Deep Learning effectively.

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food-101-keras

Food Classification with Deep Learning in Keras / Tensorflow

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TonY

TonY is a framework to natively run deep learning frameworks on Apache...

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mlens

ML-Ensemble – high performance ensemble learning

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hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across ma...

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jubatus

Framework and Library for Distributed Online Machine Learning

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MobileNet-CoreML

The MobileNet neural network using Apple's new CoreML framework

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scikit-multilearn

A scikit-learn based module for multi-label et. al. classification

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klassify

Bayesian Text classification service based on Redis and Python/Tornado

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libact

Pool-based active learning in Python

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opencv

OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local...

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FfDL

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning...

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adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of mathe...

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Evil

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身...

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scikit-survival

Survival analysis built on top of scikit-learn

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magpie

Deep neural network framework for multi-label text classification

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tf-estimator-tutorials

This repository includes tutorials on how to use the TensorFlow estima...

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LightCTR

Lightweight and Scalable framework that combines mainstream algorithms...

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Kaggler

Code for Kaggle Data Science Competitions

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NeuralKart

A Real-time Mario Kart 64 AI using ConvNets.

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Machine-Learning-Book

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口...

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kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

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Shirt-without-Stripes

State of AI

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Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest...

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K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

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fastai2

Temporary home for fastai v2 while it's being developed

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ml-interview

Preparing for machine learning interviews

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