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requests-for-research

A living collection of deep learning problems

rltorch

A RL package for Torch that can also be used with openai gym

rnotebook

A browser based R Notebook

sampyl

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

star-cascade

Cascade Object Detection with Deformable Part Models – Add-on package for voc-release4.01

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

statistics-cheat-sheets

Key concepts of statistics

sublime-helper

sublime-helper is a shell script collection to setup Sublime Text configuration files and command line aliases based on predefined templates.

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

summerschool2016

Montréal Deep Learning Summer School 2016 material

sydneyuniversitymathematicsnotes

Contains lecture notes for several Sydney University advanced mathematics courses. Contributions welcomed!

task-1

Task 1

tensorflow-course

Tensorflow course by Stanford

tensorflow-white-paper-notes

Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation

tftutorials

Tensorflow tutorials

the-most-influential-developers-on-github

For Github Data Challenge 2014

theano

theano models

theano-hf

General purpose Hessian-free optimization in Theano

theano-tutorial

A brief tutorial on basic Theano concepts, including a toy multi-layer perceptron example

theano-tutorial-1

Reslab Theano tutorial (10 February 2015)

theano-tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

theano_exercises

Exercises for my tutorials on Theano

theano_fftconv

Convolution op for Theano based on CuFFT using scikits.cuda

tmux-config

Example tmux configuration - screen + vim key-bindings, system stat, cpu load bar.

torch-toolbox

A collection of snippets and libraries for Torch from e-Lab

torch.github.io

Torch's web page.

torch7

torch_examples

[adversarial] examples and training cost