River-Cold

Grounded-Segment-Anything

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

AgML

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

YOLO-MPD

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

BiFormer

[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

ConvNeXt-V2

Code release for ConvNeXt V2 model

CUDA-Programming

Sample codes for my CUDA programming book

CUDA_Freshman

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

EasyCV

An all-in-one toolkit for computer vision

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Fuji-SfM

Learn-CUDA-Programming

Learn CUDA Programming, published by Packt

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

multispectral-object-detection

Multispectral Object Detection with Yolov5 and Transformer

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

ParC-Net

[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

slim-neck-by-gsconv

Pytorch implementation of the 'Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicle'

SuperYOLO

SuperYOLO

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolo_research

based on yolov5-high-level project (detect\pose\classify\segment\):include yolov7 core ,improvement research based on yolov5,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C

yoloair

🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

YOLOv5-Light

provide some new architecture, channel pruning and quantization methods for yolov5

yolov5-v7.0

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Yolov5_StrongSORT_OSNet

Mult-object tracking and segmentation using YOLOv5 with StrongSORT and OSNet

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.