Alternatives and similar repositories for pylearn2-practice

Users that are interested in pylearn2-practice are comparing it to the libraries listed below

• nouiz / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆16Updated 9 years ago
• glorotxa / DeepANN
  Theano based deep ANN learning code
  ☆38Updated 14 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 9 years ago
• zygmuntz / nonlinear-vowpal-wabbit
  How to use automatic polynomial features and neural network mode in VW
  ☆17Updated 11 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• npow / RNN-EM
  Recurrent Neural Networks with External Memory
  ☆30Updated 9 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• bayerj / theano-rnn
  Recurrent neural networks with theano.
  ☆28Updated 15 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 9 years ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 8 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 4 months ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• JonathanRaiman / cython_lstm
  LSTM Python library using Cython
  ☆37Updated 10 years ago
• n17s / fest
  Fast Ensembles of Sparse Trees
  ☆38Updated 9 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated last year
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• 5vision / kaggle_allen
  ☆29Updated 9 years ago
• yoonkim / kdd_2014
  Code for KDD 2014
  ☆16Updated 10 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 9 years ago
• nrolland / pyLDA
  an implemetation of LDA in Python, from Heinrich's paper : http://www.arbylon.net/publications/text-est.pdf
  ☆43Updated 15 years ago
• ChenglongChen / Kaggle_The_Hunt_for_Prohibited_Content
  4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
  ☆28Updated 10 years ago