Alternatives and similar repositories for ghalton:

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

• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• soumith / eyescream
  ☆35Updated 9 years ago
• wjyoon / 2048_deepql_torch
  ☆18Updated 8 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 9 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 8 years ago
• JonathanRaiman / cython_lstm
  LSTM Python library using Cython
  ☆37Updated 10 years ago
• bobye / d2suite
  A C++ package for discrete distribution based large-scale data processing framework
  ☆2Updated 7 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 10 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 9 years ago
• janivanecky / Numpy-RNNs
  ☆49Updated 8 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 7 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• apark263 / cfmz
  ☆57Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆40Updated 9 years ago
• thomlake / pytorch-notebooks
  random pytorch hacks
  ☆26Updated 7 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆58Updated 5 years ago
• AgnezIO / agnez
  Analytics for Deep Learning projects.
  ☆49Updated 8 years ago
• HazyResearch / CaffeConTroll
  ☆76Updated 8 years ago
• mbhenaff / spectral-lib
  ☆45Updated 8 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• jachiam / rnn-playground
  Playground for some RNN stuff in Torch.
  ☆20Updated 9 years ago
• kakauandme / TensorFlowMNIST
  Various neural networks on MNIST data using TensorFlow library
  ☆16Updated 9 years ago