🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Animation engine for explanatory math videos

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Python sample codes and textbook for robotics algorithms.

Official inference repo for FLUX.1 models

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

verl: Volcano Engine Reinforcement Learning for LLMs

State-of-the-Art Text Embeddings

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …

Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).

💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器（支持 gif 动态图片二维码）

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.

A Collection of Variational Autoencoders (VAE) in PyTorch.

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

CUDA accelerated rasterization of gaussian splatting

Python package for the evaluation of odometry and SLAM

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Vector (and Scalar) Quantization, in Pytorch

MAGI-1: Autoregressive Video Generation at Scale

Learning in infinite dimension with neural operators.

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Efficient vision foundation models for high-resolution generation and perception.

DeepWalk - Deep Learning for Graphs

The devkit of the nuScenes dataset.

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation