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6.828mit

The source of lab and assignment for 6.828 of MIT

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

algorithm

algs4

Algorithms, 4th edition textbook code and libraries

awesome-courses

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

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

book

学习笔记

bosen

Parallel ML System - Bosen project

byterun

A Python implementation of a Python bytecode runner

cikm-cup-2017

competition_tianchi

阿里移动推荐算法比赛

crash-course-computer-science-chinese

:computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成)

creating-2d-laser-slam-from-scratch

从零开始创建二维激光SLAM

credit-risk-1

Modeled default intensities with CIR model by R package “sde”; priced debatable zero-coupon bonds

darkforestgo

DarkForest, the Facebook Go engine.

deep-learning-papers-reading-roadmap

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

deep-nlp-seminars

Materials for deep NLP course

deeplearning_demo

some demo

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

drqa

Reading Wikipedia to Answer Open-Domain Questions

drqa-1

A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

easy-cs

CS，如此简单!

example-code

Example code for the book Fluent Python

field-aware-factorization-machine-mpi

LR、FM、FFM model solved by ftrl and sgd parallel on MPI

gem

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.