ownstyledu

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

detr

End-to-End Object Detection with Transformers

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

OUCML

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

PyContrast

PyTorch implementation of Contrastive Learning methods

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

Non-local_pytorch

Implementation of Non-local Block.

iterm2-with-oh-my-zsh

iTerm2 + Oh My Zsh 打造舒适终端体验

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

Domain-generalization

All about domain generalization

IBN-Net

Instance-Batch Normalization Networks (ECCV2018)

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...

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Source-Code-Notebook

关于一些经典论文源码的逐行中文笔记

DANN_py3

python 3 pytorch implementation of DANN

contiguous_pytorch_params

Accelerate training by storing parameters in one contiguous chunk of memory.

StyleTransfer

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch

JigenDG

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

RSC

This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

Multi-View-Information-Bottleneck

Implementation of Multi-View Information Bottleneck

Episodic-DG

This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113

LEMON

This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.