Yidan-Zhang

Yidan-Zhang

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Yidan-Zhang's repositories

RePaint-Inpainting-using-Denoising-Diffusion-Probabilistic-Models

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

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C2FNet

build

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awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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BGNet

Boundary-Guided Camouflaged Object Detection

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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

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CVPR-2022-papers

CVPR 2022 papers with code (论文及代码)

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CvPytorch

CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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Graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

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iaanet-Interior-Attention-Aware-Network-for-Infrared-Small-Target-Detection

(TGRS 2022) Paper: Interior Attention-Aware Network for Infrared Small Target Detection

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ICNet-pytorch

ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.

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MIRST_dataset

A large-scale multi-scene dataset constructed for single-frame infrared small target detection.

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, etc.

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PyQt5-YOLOv5

YOLOv5检测界面-PyQt5实现

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pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

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PyTorch-Networks

Pytorch implementation of cnn network

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Reinforcement-Implementation

Implementation of benchmark RL algorithms

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SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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SNL_ICCV2021

Official implementation of the paper ``Unifying Nonlocal Blocks for Neural Networks'' (ICCV'21)

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SPFNet

SPFNet

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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UCTransNet

Implementation of our AAAI'22 work: "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer".

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UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

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YOLOv5-Multibackbone-Compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

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