poolio

poolio's Stars

• kristjankorjus/Replicating-DeepMind

  Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

  Language:C++655207

• spragunr/deep_q_rl

  Theano-based implementation of Deep Q-learning

  Language:Python1.1k348

• dpkingma/nips14-ssl

  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

  Language:Python511147

• andersbll/deeppy

  Deep learning in Python

  Language:Python1.4k305

• deeplearningparis/dl-machine

  Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

  Language:Shell29572

• xdata-skylark/libskylark

  Sketching-based Distributed Matrix Computations for Machine Learning

  Language:Perl9920

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7.1k913

• sklearn-theano/sklearn-theano

  Scikit-learn compatible tools using theano

  Language:Python36378

• mpezeshki/Recurrent-Neural-Networks

  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.

  Language:Python9231

• HIPS/hypergrad

  Exploring differentiation with respect to hyperparameters

  Language:Python29571

• lmjohns3/theanets

  Neural network toolkit for Python

  Language:Python32873

• IndicoDataSolutions/Passage

  A little library for text analysis with RNNs.

  Language:Python531134

• ifp-uiuc/anna

  This is a code repository to efficiently train a deconvolutional neural network with rectified linear units.

  Language:Python5619

• paolo-f/bcfind

  Brain cell finder

  Language:Python73

• kaishengtai/torch-ntm

  A Neural Turing Machine implementation in Torch.

  Language:Lua28054

• sailing-pmls/bosen

  Parallel ML System - Bosen project

  Language:C++962290

• wojciechz/learning_to_execute

  Learning to Execute

  Language:Lua479115

• JonathanRaiman/theano_lstm

  :microscope: Nano size Theano LSTM module

  Language:Python303112

• syntagmatic/parallel-coordinates

  A d3-based parallel coordinates plot in canvas. This library is no longer actively developed.

  Language:JavaScript510211

• jmoon018/PacVim

  Language:C++3.3k194

• dfm/george

  Fast and flexible Gaussian Process regression in Python

  Language:C++453128

• ogrisel/parallel_ml_tutorial

  Tutorial on scikit-learn and IPython for parallel machine learning

  Language:Jupyter Notebook1.6k599

• jmschrei/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Python3.4k589

• uoguelph-mlrg/theano_alexnet

  Theano-based Alexnet

  Language:Python229113

• mila-iqia/blocks

  A Theano framework for building and training neural networks

  Language:Python1.2k349

• Lasagne/Lasagne

  Lightweight library to build and train neural networks in Theano

  Language:Python3.9k941

• dmlc/minerva

  Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

  Language:C++701172

• paulgb/runipy

  Run IPython notebooks as command-line scripts, generate HTML reports

  Language:Python45090

• mwhoffman/pybo

  Python package for modular Bayesian optimization

  Language:Python13432

• lopezpaz/randomized_causation_coefficient

  Code for "The randomized causation coefficient" (JMLR 2014).

  Language:TeX46