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Archur's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

ann-visualizer icon ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-cs-books icon awesome-cs-books

经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

caddn icon caddn

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

cbam icon cbam

CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch

cbam.pytorch icon cbam.pytorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

ccpd icon ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

cctsdb icon cctsdb

CSUST Chinese Traffic Sign Detection Benchmark

chromeappheroes icon chromeappheroes

🌈Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~

ciconv icon ciconv

Original code for "Zero-Shot Domain Adaptation with a Physics Prior"

conv_snn icon conv_snn

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

crnet icon crnet

An implementation for the paper: Co-Representation Network for Generalized Zero-Shot Learning

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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