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advdefense_csc

Code for "Adversarial Defense by Stratified Convolutional Sparse Coding"

awesome-image-registration

image registration related books, papers, videos, and toolboxes

caffe

Caffe: a fast open framework for deep learning.

cam

Class Activation Mapping

ccsc_code_iccv2017

This is the source code repository for the ICCV 2017 paper "Consensus Convolutional Sparse Coding".

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

competition-baseline

数据科学竞赛各种baseline代码、思路分享

convolutionalsparsecoding

csaes

Convolutional Sparse Auto-Encoders

densitypeakcluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

domain-specific-fewshot-learning

Pytorch implementation of the Trans paper "Few-shot Learning for Domain-specific Fine-grained Image Classification"

ffcsc2015

fista

Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.

grad-cam

[ICCV 2017] Torch code for Grad-CAM

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

literatures

medical-datasets

tracking medical datasets, with a focus on medical imaging

meniscus

Detect liquid level (meniscus) and track it

nlpbuddy

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

ocsc

Code for 'Online convolutional sparse coding'.

photobar

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

tp-gan

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

visualizing_understanding_cnn_implementation

Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf]

visualizingcnn

:see_no_evil:A PyTorch implementation of the 2014 ECCV paper "Visualizing and Understanding Convolutional Networks"