[BMVC2023] Widely Applicable Strong Baseline for Sports Ball Detection and Tracking

🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉

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

RGB-T Object Tracking

The code and data of We-Math, accepted by ACL 2025 main conference.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

ChatGPT相关资源汇总

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

AI比赛经验帖子 & 训练和测试技巧帖子 集锦（收集整理各种人工智能比赛经验帖）

The version of cpp tensorrt for paddleOCR.

pytorch implement of google blazePose

A playbook for systematically maximizing the performance of deep learning models.

Ultralytics YOLO 🚀

RepVGG: Making VGG-style ConvNets Great Again

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…

code and demo for our CVPR2022 paper "ClothFormer: Taming Video Virtual Try-on in All Module"

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

ppyolo in pytorch. 44.8% box mAP.

Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)

Official implementation of PVT series

Pytorch implementation of convolutional neural network visualization techniques

Automated deep learning algorithms implemented in PyTorch.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

3D Human Pose Machines with Self-supervised Learning

thor: C++ helper library, for deep learning purpose

pad layer for caffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs