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This repo contains the Hugging Face Deep Reinforcement Learning Course.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

The "Python Machine Learning (3rd edition)" book code repository

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Time series forecasting with PyTorch

Noise supression using deep filtering

List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Machine Learning and Agentic AI Resources, Practice and Research

Run Keras models in the browser, with GPU support using WebGL

Muzic: Music Understanding and Generation with Artificial Intelligence

Torchreid: Deep learning person re-identification in PyTorch.

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

An Open-Source Framework for Prompt-Learning.

The 3rd edition of course.fast.ai

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

An Engine-Agnostic Deep Learning Framework in Java

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

【干货】史上最全的PyTorch学习资源汇总

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Relax! Flux is the ML library that doesn't make you tensor

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

OpenMMLab Text Detection, Recognition and Understanding Toolbox

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Curated list of Python resources for data science.

Transformer: PyTorch Implementation of "Attention Is All You Need"

Align Anything: Training All-modality Model with Feedback

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

:satellite: All You Need to Know About Deep Learning - A kick-starter

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

🤗 AutoTrain Advanced