Alternatives and similar repositories for apsis

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

• soumith / eyescream
  ☆35Updated 9 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• melgor / DRAW
  Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw
  ☆22Updated 9 years ago
• twitter-archive / torch-thrift
  A Thrift codec for Torch
  ☆29Updated 3 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆38Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• google-deepmind / torch-totem
  Torch test module
  ☆24Updated 9 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 9 years ago
• EderSantana / X
  X is a temporary name, but here lies RL
  ☆40Updated 8 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
• locklin / torch-things
  just getting a few noodlings off my private repos
  ☆13Updated 10 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• dagbldr / dagbldr
  A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano
  ☆20Updated 8 years ago
• caglar / adasecant_wshp_paper
  Code for the arxiv paper
  ☆9Updated 10 years ago
• PrajitR / NeuralStacksQueues
  Implementations of differentiable stacks, queues, and deques from "Learning to Transduce with Unbounded Memory"
  ☆20Updated 9 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
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• Element-Research / hypero
  Hyper-optimization for torch7
  ☆50Updated 9 years ago
• mrkulk / NeuralPartialProgramSynthesis
  Work in progress. Read at your own risk.
  ☆14Updated 9 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 8 years ago
• albanD / adaptive-neural-compilation
  ☆58Updated 9 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 6 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago