KOISHI-CHEN

KOISHI-CHEN's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.7k3729.3k16.5k

• WZMIAOMIAO/deep-learning-for-image-processing

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

  Language:Python23.6k1614248.1k

• MIC-DKFZ/nnUNet

  Language:Python6.1k762.2k1.8k

• wolny/pytorch-3dunet

  3D U-Net model for volumetric semantic segmentation written in pytorch

  Language:Jupyter Notebook2.1k360515

• faucetsdn/ryu

  Ryu component-based software defined networking framework

  Language:Python1.5k153721.2k

• dome272/Diffusion-Models-pytorch

  Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

  Language:Python1.2k1143275

• phizaz/diffae

  Official implementation of Diffusion Autoencoders

  Language:Jupyter Notebook879882130

• MontaEllis/Pytorch-Medical-Segmentation

  This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.

  Language:Python8691152195

• cv516Buaa/tph-yolov5

  Language:Python724771171

• Soreepeong/XivAlexander

  Double weave on high latency, and mishmash of modding tools - especially for fonts and internationalization for Final Fantasy XIV.

  Language:C++7222173065

• davidfrz/yolov5_distance_count

  使用yolov5，双目摄像头进行测距

  Language:Jupyter Notebook46921569

• voletiv/mcvd-pytorch

  Official implementation of MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation (https://arxiv.org/abs/2205.09853)

  Language:Python33342926

• jiupinjia/rocket-recycling

  Rocket-recycling with Reinforcement Learning

  Language:Python2646464

• MASILab/3DUX-Net

  Language:Python25227933

• himashi92/VT-UNet

  [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

  Language:Python25183934

• ieee820/BraTS2018-tumor-segmentation

  We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

  Language:Python1609046

• knetsolutions/learn-sdn-with-ryu

  Learn SDN with RYU Controller

  Language:Python1609469

• YJHCUI/SwinTransformer-YOLOv5

  一个修改YOLOv5以使用SwinTransformer模块的代码仓库。A repository that modifies YOLOv5 to use various SwinTransformer blocks.

  Language:Python107177

• lansinuote/Machine-Learning-In-Numpy

  纯python实现机器学习算法,非套用sk-learn

  Language:Jupyter Notebook1024036

• Ehsan70/RyuApps

  Creates a simple Ryu app using the tutorials and then adds on to it.

  Language:Python958046

• torchDDM/DDM

  Language:Python701410

• nimai/mptcp-scapy

  MPTCP firewall tester based on scapy

  Language:Python494115

• duynamrcv/uav_multihop_adhoc

  Optimal Multihop Ad-hoc Route Deployment

  Language:MATLAB421113

• whitepaper/RL-Zoo

  Implementations of Reinforcement Learning Algorithm

  Language:Jupyter Notebook404014

• liujiyaoFDU/3D-U-net

  MRI image of rectal cancer segmentation using3D U-net baseline

  Language:Python23116

• sieniven/detect-objects-with-depth-estimation

  Application for object detection with YOLOv4 and depth estimation using stereo cameras.

  Language:Python18302

• gramorgan/mininet-fat-tree

  fat-tree topology and routing algorithms using mininet and pox

  Language:Python12015

• brichbourg/Multi-Tier-App-Demo

  Application that can be used to demo networking SDN load balancing and security policy solutions (ACI,NSX)

  Language:Python1051012

• fabriziodemaria/MPTCP-Exploit

  Testing MPTCP vulnearibilites using MPTCP-compatible suite of scapy from repo: nimai/mptcp-scapy

  Language:Python6374

• marcdacier/scapy

  A couple of scripts to show how to use scapy

  Language:Python310