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awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bilibli_notes2

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

computer-networking-projects

HTTP Client Server Implementation, GBN and SR simulation, Distance Vector Algorithm Simulation

computer-networks

GBN and SR simulation, Distance Vector Algorithm Simulation

cplusplusthings

C++那些事

cs231nassignment

Stanford CS231n assignment in 2019 spring

datamining

deep-learning-for-image-processing

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

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-project-template

A best practice for deep learning project template architecture.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dmc

北京理工大学数据挖掘课程作业

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

forstudy

halo

✍ An excellent open source blog publishing application. | 一个优秀的开源博客发布应用。

helloworld

SSH框架整合实践

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

lhy_dl_hw

lucene-trey

基于lucene的小型中文搜索引擎

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medium

Code base for medium articles

ml-notes

notes about machine learning

mmaction

An open-source toolbox for action understanding based on PyTorch

mytinystl

Achieve a tiny STL in C++11

oatpp

🌱Modern Web Framework for C++. High performance, simple API, cross platform, zero dependency.

paddlersweb

pyinstaller

Freeze (package) Python programs into stand-alone executables

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3