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.

umap

Uniform Manifold Approximation and Projection

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modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

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machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine le...

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skypilot

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds...

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BentoML

The easiest way to serve AI apps and models - Build Model Inference AP...

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From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want...

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notebooks

This repository offers a comprehensive collection of tutorials on stat...

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awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

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stanza

Stanford NLP Python library for tokenization, sentence segmentation, N...

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featuretools

An open source python library for automated feature engineering

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorfl...

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dowhy

DoWhy is a Python library for causal inference that supports explicit...

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inference

Replace OpenAI GPT with another LLM in your app by changing a single l...

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facets

Visualizations for machine learning datasets

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industry-machine-learning

A curated list of applied machine learning and data science notebooks...

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bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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librephotos

A self-hosted open source photo management service. This is the reposi...

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lab

A customisable 3D platform for agent-based AI research

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and i...

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boxmot

BoxMOT: pluggable SOTA tracking modules for segmentation, object detec...

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ai-engineering-hub

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

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h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning P...

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guess

🔮 Libraries & tools for enabling Machine Learning driven user-experie...

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machine-learning-course

:speech_balloon: Machine Learning Course with Python:

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BackgroundMattingV2

Real-Time High-Resolution Background Matting

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machin...

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bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

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SerpentAI

Game Agent Framework. Helping you create AIs / Bots that learn to play...

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DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖...

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DeepPavlov

An open source library for deep learning end-to-end dialog systems and...

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Book3_Elements-of-Mathematics

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续...

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angel

A Flexible and Powerful Parameter Server for large-scale machine learn...

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autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

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pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning...

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weaviate

Weaviate is an open source vector database that stores both objects an...

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Awesome-Embedded

A curated list of awesome embedded programming.

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Awesome-CoreML-Models

Largest list of models for Core ML (for iOS 11+)

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BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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Surprise

A Python scikit for building and analyzing recommender systems

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ml5-library

Friendly machine learning for the web! 🤖

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

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learning

A log of things I'm learning

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interpret

Fit interpretable models. Explain blackbox machine learning.

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nlp-recipes

Natural Language Processing Best Practices & Examples

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EasyPR

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition proje...

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN,...

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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data-science-blogs

A curated list of data science blogs

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awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to so...

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