johncliu Goto Github PK

538model

538 Election Forecasting Model

8.01ocw1999

course materials for 8.01 MIT OCW 1999

ai-metrics

An open source project to document AI progress through data.

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

arabic-word2vec

Automatically exported from code.google.com/p/arabic-word2vec

arelle

Arelle open source XBRL platform

autoeda-resources

A list of software and papers related to automatic and fast Exploratory Data Analysis

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

awesome-rl

Reinforcement learning resources curated

awesome-rnn

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

bastien-theano-workshop

bepb

Config files for my GitHub profile.

blink

Entity Linker solution

bsdgames-osx

The classic bsdgames of yore, for Mac OS X.

byrne-euclid

MetaPost + ConTeXt rendition of Oliver Byrne's "The first six books of the Elements of Euclid"

c1gamesstarterkit

Starter kit for new players of Terminal. Contains starter-algo and a basic CLI for running/debugging algo's locally.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

codeinventory.github.io

convnetjs

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

core

Nimiq Blockchain Core

coursera_reinforcement_learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

cs231n.github.io

Public facing notes page

d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

d3

A JavaScript visualization library for HTML and SVG.

daktilo

A Jekyll theme with a minimal design inspired from typewriters.

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

databox

Infrastructure as a code for Data Science processing machine

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

datasharing

The Leek group guide to data sharing