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.

TensorFlow-From-Zero-To-One

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

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prml

Repository of notes, code and notebooks in Python for the book Pattern...

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jraph

A Graph Neural Network Library in Jax

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neataptic

:rocket: Blazing fast neuro-evolution & backpropagation for the browse...

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AlphaZero.jl

A generic, simple and fast implementation of Deepmind's AlphaZero algo...

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awesome-deep-trading

List of awesome resources for machine learning-based algorithmic tradi...

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Evolutionary-Algorithm

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

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graphvite

GraphVite: A General and High-performance Graph Embedding System

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conversational-datasets

Large datasets for conversational AI

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yolo-9000

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000...

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tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow

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Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machi...

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awesome-face

An awesome face technology repository.

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chainerrl

ChainerRL is a deep reinforcement learning library built on top of Cha...

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nerfies

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies...

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fastquant

fastquant — Backtest and optimize your ML trading strategies with only...

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Awesome-Rust-MachineLearning

This repository is a list of machine learning libraries written in Rus...

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Arraymancer

A fast, ergonomic and portable tensor library in Nim with a deep learn...

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awesome-relation-extraction

📖 A curated list of awesome resources dedicated to Relation Extraction...

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dgl-ke

High performance, easy-to-use, and scalable package for learning large...

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datumbox-framework

Datumbox is an open-source Machine Learning framework written in Java...

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CleverCSV

CleverCSV is a Python package for handling messy CSV files. It provide...

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awesome-seml

A curated list of articles that cover the software engineering best pr...

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awesome-AI-books

Some awesome AI related books and pdfs for learning and downloading, a...

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Awesome-Interaction-Aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory predi...

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spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

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DeepAudioClassification

Finding the genre of a song with Deep Learning

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FreeML

A List of Data Science/Machine Learning Resources (Mostly Free)

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owl

Owl - OCaml Scientific Computing @ http://ocaml.xyz

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pyclustering

pyclustering is a Python, C++ data mining library.

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awesome-ml-demos-with-ios

The challenge projects for Inferencing machine learning models on iOS

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nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim...

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nlp-library

curated collection of papers for the nlp practitioner 📖👩‍🔬

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bert_score

BERT score for text generation

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imodels

Interpretable ML package 🔍 for concise, transparent, and accurate pred...

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pyswarms

A research toolkit for particle swarm optimization in Python

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few-shot

Repository for few-shot learning machine learning projects

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PPLM

Plug and Play Language Model implementation. Allows to steer topic and...

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awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural...

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skater

Python Library for Model Interpretation/Explanations

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Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

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loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

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PySR

High-Performance Symbolic Regression in Python

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TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

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training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

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nlp

:memo: This repository recorded my NLP journey.

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StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

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machine-learning-curriculum

:computer: Learn to make machines learn so that you don't have to stru...

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DiCE

Generate Diverse Counterfactual Explanations for any machine learning...

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variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (includi...

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