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100-days-of-ml-code

100 Days of ML Coding

adabound

An optimizer that trains as fast as Adam and as good as SGD.

al_surface_defect_detection

My code for Tianchi competition(Al surface detect detection). My final rank is 10/2972.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-algorithm

LeetCode, HackRank, 剑指offer, classic algorithm implementation

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-pytorch-list

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

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cs-notes

:books: 技术面试必备基础知识

cv

deep-learning-papers-reading-roadmap

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

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

examples

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

faster-rcnn_tianchi_guangdong.pytorch

TianChi 2018广东工业智造大数据创新大赛——智能算法赛（复赛baseline代码）

gluon-cv

Gluon CV Toolkit

libpku

贵校课程资料民间整理

models

Models and examples built with TensorFlow

pwc

Papers with code. Sorted by stars. Updated weekly.

python

All Algorithms implemented in Python

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University