onebitbrain Goto Github PK

aleph_star

Reinforcement learning with A* and a deep heuristic

backproppy

(Ancient) reference implementation of a modular codebase for backpropagation networks. Don't use this.

carbm

Code to accompany the paper "Cardinality Restricted Boltzmann Machines, NIPS 2012".

classification-sandbox

Assorted classification code using Python/NumPy/Cython.

convolupy

An (old, not very fast) library for creating/using convolutional neural networks in Python. Don't use this.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepnet

Implementation of some deep learning algorithms.

fantasy-hockey-ip-code

imcrbm

Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.

k-stochastic-neighbor

Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".

libgpuarray

Library to manipulate tensors on the GPU.

mlbgame

A Python API to retrieve and read MLB GameDay XML data

nflcmd

A collection of command line utilities for viewing NFL statistics and rankings with nfldb.

nfldb

A library to manage and update NFL data in a relational database.

nflfan

View your fantasy teams with nfldb using a web interface.

nflgame

An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.

nnet

A general feed-forward neural network.

ocl

Python to C99/OpenCL/JS compiler

ontopreplica

A real-time, always on top, “replica” of a window of your choice, on Windows.

pylearn2

Warning: This project does not have any current developer. See bellow.

pyviennacl-dev

Developer repository for PyViennaCL. Visit http://viennacl.sourceforge.net/ for latest releases.

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

theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara

theano-rnn

Demonstration of recurrent neural network implemented with Theano

twitter-tools

web-xslt

Automatically exported from code.google.com/p/web-xslt