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Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
[WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
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…
Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!
Nimir 是一个基于 workflow 的标注、训练、推理一体化平台。它提供了直观的用户界面和强大的功能，通过工作流的方式将数据处理全流程有机地串联起来，实现端到端的 AI 应用开发。
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
AI Agent for Chinese Chess - CS 221 Project
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
C++ app for computer vision inference, supporting multiple tasks and backends.
TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例
使用TensorRT加速YOLOv8-Seg，完整的后端框架，包括Http服务器，Mysql数据库，ffmpeg视频推流等。
一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework
A unified framework for 3D content generation.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
The official implementation of CALD: Consistency-basd Active Learning for Object Detection
Here is a list of 3D vision resources
OpenMMLab's next-generation platform for general 3D object detection.
Papers, code and datasets about deep learning for 3D Object Detection.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, Cont…
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).