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aae_pytorch

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

adversarial-autoencoder

A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

adversarialnetspapers

The classical papers and codes about generative adversarial nets

algorithm

This repository is used to store code for the algorithm course in 2013 Fall semester

algoxy

Book of Elementary Algorithms and Data structures

algs4

Algorithms, 4th edition textbook code and libraries

andybaoxv.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

arff-datasets

The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)

autograd

Efficiently computes derivatives of numpy code.

auxiliary-deep-generative-models

Deep generative models for semi-supervised learning.

awesome-linux-software

🐧 A curated list of awesome applications, softwares, tools and other materials for Linux distros.

awesome-machine-learning

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

awesome-rnn

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

bayesian

Graphical Model, Inference(Variational and Sampling)

bayesianlogisticregresssion

bayesic

Probabilistic programming for large datasets, via stochastic variational inference

bbvi

Black Box Variational Inference

bidmach

CPU and GPU-accelerated Machine Learning Library

bnp_tutorial

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

bosen

Petuum's Bosen project

caffe

Caffe: a fast open framework for deep learning.

caffe2

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

causaltree

Working repository for Causal Tree and extensions

cdmentropy

Centered Dirichlet Mixture entropy estimator for binary data

cfrnet

Counterfactual Regression

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch