Official Repo for paper: Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing

🤗 A PyTorch-native and Flexible Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs.

A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the commu…

Practice Code for text to image trainer

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.

PyTorch Neural Network eXchange

The Triton TensorRT-LLM Backend

Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"

Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++

A high-performance inference engine for LLMs, optimized for diverse AI accelerators.

DFloat11 [NeurIPS '25]: Lossless Compression of LLMs and DiTs for Efficient GPU Inference

Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

AndroidImageEdit 安卓设备上图形编辑开源控件，支持磨皮美白 自定义贴图 图片滤镜 图片旋转 图片剪裁 文字贴图 撤销 回退 等操作

Model Quantization Benchmark

Repo for SeedVR2 (ICLR2026) & SeedVR (CVPR2025 Highlight)

一个用来记录武汉大学杨景媛论文问题的仓库

coding CUDA everyday!

📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉

诺亚盘古大模型研发背后的真正的心酸与黑暗的故事。

A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU par…

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

CUDA 算子手撕与面试指南

2023年最新整理 c++后端开发，1000篇优秀博文，含内存，网络，架构设计，高性能，数据结构，基础组件，中间件，分布式相关

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。