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2016

3dgan-release

3D Generative Adversarial Network

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe

antibiotic-resistance

Stochastic Simulation of Antibiotic Resistance

backup-file

ballr

An R API for basketball-reference.com

bda_py_demos

Bayesian Data Analysis demos for Python

bda_r_demos

Bayesian Data Analysis demos for R

big-data-rosetta-code

Code snippets for solving common big data problems in various platforms. Inspired by Rosetta Code

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe

Caffe: a fast open framework for deep learning.

car

:exclamation: This is a read-only mirror of the CRAN R package repository. car — Companion to Applied Regression. Homepage: https://r-forge.r-project.org/projects/car/, https://CRAN.R-project.org/package=car, http://socserv.socsci.mcmaster.ca/jfox/Books/Companion/index.html

cdss-tutorials

cmshcc

dall-e

PyTorch package for the discrete VAE used for DALL·E.

data-science-with-r

deepxplore

DeepXplore code release

developers

Documentation to support upcoming data platform API and data sets

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

e1071

:exclamation: This is a read-only mirror of the CRAN R package repository. e1071 — Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

edav

Spring 2016 Exploratory Data Analysis and Visualization

end-to-end-negotiator

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

fakedatademo

featran

A Scala feature transformation library for data science and machine learning

finance

financialratios

financial ratio calculator

ggvis

Interactive grammar of graphics for R

greykite

A flexible, intuitive and fast forecasting library

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)