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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

algorithms-sedgewick-python

Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python

algorithms_and_data_structures

160+ Algorithm & Data Structure Problems using C++

applescript

All my Applescript code I have used/developed

awesome-blockchain

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-comment

:boom: Funny comments

batch

Some basic batch scripts

bayes-nn

Lecture notes on Bayesian deep learning

bayesian-statistics

Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.

beautiful-docs

Pointers to useful, well-written, and otherwise beautiful documentation.

binary-stochastic-neurons

Binary Stochastic Neurons in PyTorch

cagan.pytorch

!!!!! CAUTION !!!!! WIP repository

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

chalktalk

chrome-plugin-recommand

chrome-plugin-recommand 程序员必备的那些Chrome插件

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

conditional-analogy-gan-keras

keras implementation of CAGAN and its variants

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cs231n.github.io

Public facing notes page

cutelog

GUI for Python's logging module

deep-learning-papers-reading-roadmap

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

doctoc

Generates table of contents for markdown files inside local git repository. Links are compatible with anchors generated by github or other sites.

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

flann

Fast Library for Approximate Nearest Neighbors

full-speed-python

Getting up to speed with Python: a book for self-learners

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

githubhub

Use private repository with a free account.

gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

heteroscedasticdropoutuncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.