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Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Precompiled packages for AWS Lambda

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Finding the genre of a song with Deep Learning

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Deep Learning Interview 深度学习面试题目汇总

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.

Riemannian Adaptive Optimization Methods with pytorch optim

Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.

Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

Real time WebGL and JavaScript library for face tracking, expression detection and animated emoticons in the browser, with both SVG and Three.js demos included 😄

Implementation of Quickdraw - an online game developed by Google

《AI 研发提效：自己动手训练 LoRA》，包含 Llama （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……

Implementation of TabTransformer, attention network for tabular data, in Pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

TensorFlow 101: Introduction to Deep Learning

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Explainability for Vision Transformers

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

TextBox 2.0 is a text generation library with pre-trained language models

Machine learning algorithms implemented by pure numpy

HAnd Gesture Recognition Image Dataset

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

torchview: visualize pytorch models

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

:memo: This repository recorded my NLP journey.

A pytorch adversarial library for attack and defense methods on images and graphs

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

From the Tensor to Stable Diffusion, a rough outline for a 10 week course.

Factorization Machine models in PyTorch

[CVPR 2024 & TPAMI 2025] UniRepLKNet

Profiling and inspecting memory in pytorch

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

AI彩票号码预测

curated collection of papers for the nlp practitioner 📖👩‍🔬

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

Attempting to make the Deep Learning Book easier to understand.