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Modularized Implementation of Deep RL Algorithms in PyTorch

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Fast and flexible AutoML with learning guarantees.

🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

:fire: Machine Learning Notebooks

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Create Anime Characters with MakeGirlsMoe

Awesome work on hand pose estimation/tracking

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Official implementation of Character Region Awareness for Text Detection (CRAFT)

Semantic Segmentation Architectures Implemented in PyTorch

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

A library for audio and music analysis, feature extraction.

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

Generate, animate and schedule your AI characters 🤖

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia (ICML'26), Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

JAX-based neural network library

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

Open source neural network chess engine with GPU acceleration and broad hardware support.

A Repo For Document AI

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

OneTrainer is a one-stop solution for all your Diffusion training needs.

An open lakehouse engine — Postgres-native, vector-native and Python-native. Speaks PostgreSQL, runs on your object storage, written in Rust.

ResNeSt: Split-Attention Networks

基于深度强化学习的开源自动因子工厂。

ONNX-TensorRT: TensorRT backend for ONNX

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

QualityScaler - image/video AI upscaler app

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Carefully curated resource links for data science in one place

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

The state-of-the-art image restoration model without nonlinear activation functions.

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch

Isolate vocals, drums, bass, and other instrumental stems from any song

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Deep Learning (Python, C, C++, Java, Scala, Go)

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.