Joeyeee

Joeyeee's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook44.8k2976445.3k

• xitu/gold-miner

  🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

  33.5k1.3k5.6k5k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8k286221.7k

• chineseocr/chineseocr

  yolo3+ocr

  Language:Python5.8k1895421.7k

• szad670401/HyperLPR

  基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

  Language:C++5.6k2073302k

• yosinski/deep-visualization-toolbox

  DeepVis Toolbox

  Language:Python4k173139925

• blaisewang/img2latex-mathpix

  Mathpix has changed their billing policy and no longer has free monthly API requests. This repo is now archived and will not receive any updates for the foreseeable future.

  Language:Java1.4k2569207

• fendouai/OpenCVTutorials

  OpenCV-Python4.1 中文文档

  Language:Python1.3k305347

• xvjiarui/GCNet

  GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

  Language:Python1.2k2151167

• chineseocr/darknet-ocr

  darknet text detect and darknet cnn ocr

  Language:C1.1k64108287

• cardwing/Codes-for-Lane-Detection

  Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

  Language:Lua1k34338333

• DingXiaoH/ACNet

  ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

  Language:Python8211449133

• kazuto1011/grad-cam-pytorch

  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

  Language:Python781836173

• zhunzhong07/Random-Erasing

  Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

  Language:Python7131618155

• yizt/Grad-CAM.pytorch

  pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

  Language:Python6951058165

• blackfeather-wang/ISDA-for-Deep-Networks

  An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

  Language:Python578153592

• brain-research/realistic-ssl-evaluation

  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

  Language:Python458432099

• iBelieveCJM/pseudo_label-pytorch

  The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

  Language:Shell3322654

• vikasverma1077/ICT

  Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)

  Language:Python1424733

• hqqxyy/Context-Aware-Matting

  The project is the inference implementation of our ICCV2019 paper "Context-aware Image Matting for Simultaneous Foreground and Alpha Estimation"

  Language:Python12910019

• extreme-assistant/nips2019

  NeurIPS 2019 paper／news汇总，极市团队整理

  9314113

• vickyliin/gradcam_plus_plus-pytorch

  A Simple pytorch implementation of GradCAM and GradCAM++

  Language:Jupyter Notebook822023

• dl19940602/GCnet-pytorch

  This is a pytorch type of block，including Non-local block，Simple Non-local block，GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》

  Language:Python801121

• d-li14/dgconv.pytorch

  PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models

  Language:Python70547

• daniilidis-group/emvn

  Demo source code for the paper "Equivariant Multi-View Networks".

  Language:Python561328

• Anonymous788/YOLO_BlockCir

  Language:Python3011

• BardOfCodes/fda

  Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5b7SNrbLUfdLVo5-WK5mLJh

  Language:Python20233

• CVLAB-Unibo/ATDT

  Implementation of "Learning Across Tasks and Domains" ICCV 2019

  Language:Python15910

• daniellutscher/MixMatch-TransferLearning

  Combines the SSL Method MixMatch with a pre-trained model (EfficientNet) on a chest x-ray dataset.

  Language:Python11103

• fendouai/CampusRecruitmentBus

  欢迎关注微信公众号：校招巴士

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