Top 6423 machine-learning open source projects

An Open Source Machine Learning Framework for Everyone

Deep Learning for humans

📝 An awesome Data Science repository to learn and apply for real world problems.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Papers with code. Sorted by stars. Updated weekly.

Oxford Deep NLP 2017 course

A WebGL accelerated JavaScript library for training and deploying ML models.

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

This project is a tool to build CheXNet-like models, written in Keras.

Toxic Comment Classification Challenge

Small JavaScript implementation of ID3 Decision tree

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

A life simulation for exploring social dynamics

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.

pyge: Holiday Gift Exchange Picker

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Deep learning driven jazz generation using Keras & Theano!

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Data mining for materials science

TensorFlow implementation of ENet

Set of examples of ML approaches implemented in C++

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Stock for Deep Learning and Machine Learning

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

A PyTorch library and evaluation platform for end-to-end compression research

Minimal and Clean Reinforcement Learning Examples

🍊 📊 💡 Orange: Interactive data analysis

Gender recognition by voice and speech analysis

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

Repository for Project Insight: NLP as a Service

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

Fast, flexible and easy to use probabilistic modelling in Python.

[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing

Ask coding questions directly from the terminal

机器学习技术研究室——by阿布量化小组

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

A modern deep learning framework built to accelerate research and development of AI systems

Bring Deep Learning to small devices

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

a delightful machine learning tool that allows you to train, test, and use models without writing code

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.

Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).

Implementing multilayer neural networks through backpropagation using Java.

Build environment and train a robot arm from scratch (Reinforcement Learning)

A header-only C++ library for deep neural networks

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

📉 金融文本情感分析模型

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.