river_cold's repositories
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.
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
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.
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.