Starred repositories
Implement popular deep learning networks in pytorch, used by tensorrtx.
CodeGeeX2: A More Powerful Multilingual Code Generation Model
Open-Sora: Democratizing Efficient Video Production for All
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-…
YOLOv9 Tensorrt deployment acceleration，provide two implementation methods: C++and Python🔥🔥🔥
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Repository for few-shot learning machine learning projects
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
State-of-the-art 2D and 3D Face Analysis Project
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
A generic triplet data loader for image classification problems,and a triplet loss net demo.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Refer to DeepSort, I just disable the feature match function, so this project does not neet any deep leaning library.
📖 OpenCV-Python image processing tutorial for beginners