Alternatives and similar repositories for cmt

Users that are interested in cmt are comparing it to the libraries listed below

• uoguelph-mlrg / theano_multi_gpu
  ☆34Updated 8 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• mbhenaff / spectral-lib
  ☆45Updated 9 years ago
• doomie / HessianFree
  An implementation of the Hessian-free optimization algorithm in Theano
  ☆61Updated 13 years ago
• benanne / nervana_theano
  A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu
  ☆34Updated 10 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• craffel / nntools
  Fork of https://github.com/Lasagne/Lasagne
  ☆63Updated 9 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆103Updated 7 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• apark263 / cfmz
  ☆57Updated 9 years ago
• pascanur / trainingRNNs
  ☆86Updated 12 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆90Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• jych / cle
  ☆89Updated 8 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• caglar / adasecant_wshp_paper
  Code for the arxiv paper
  ☆9Updated 10 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆143Updated 8 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago