Pinned Repositories
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.
AnimeGAN
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
animegan2-pytorch
PyTorch implementation of AnimeGANv2
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
JavaInterview
【Java面试+Java后端技术学习指南】：一份通向理想互联网公司的面试指南，包括 Java，技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、分布式、数据库（MySQL、Redis）、Java 项目实战等
Notes
Created by RiverCold
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
YOLO-MPD
yolov5_prune
River-Cold's Repositories
River-Cold/Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
River-Cold/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
River-Cold/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.
River-Cold/YOLO-MPD
River-Cold/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
River-Cold/BiFormer
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
River-Cold/ConvNeXt-V2
Code release for ConvNeXt V2 model
River-Cold/CUDA-Programming
Sample codes for my CUDA programming book
River-Cold/CUDA_Freshman
River-Cold/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
River-Cold/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
River-Cold/EasyCV
An all-in-one toolkit for computer vision
River-Cold/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
River-Cold/Fuji-SfM
River-Cold/Learn-CUDA-Programming
Learn CUDA Programming, published by Packt
River-Cold/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
River-Cold/multispectral-object-detection
Multispectral Object Detection with Yolov5 and Transformer
River-Cold/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.
River-Cold/ParC-Net
[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
River-Cold/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
River-Cold/slim-neck-by-gsconv
Pytorch implementation of the 'Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicle'
River-Cold/SuperYOLO
SuperYOLO
River-Cold/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
River-Cold/ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
River-Cold/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
River-Cold/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🚀
River-Cold/YOLOv5-Light
provide some new architecture, channel pruning and quantization methods for yolov5
River-Cold/yolov5-v7.0
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
River-Cold/Yolov5_StrongSORT_OSNet
Mult-object tracking and segmentation using YOLOv5 with StrongSORT and OSNet
River-Cold/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.