philcowans / deep_belief_nets

Related projects: ⓘ

• hunterlang / mpmz
  miniplaces2 deep residual network in neon
  ☆16Updated 8 years ago
• DTU-deeplearning / day4-VAE
  ☆12Updated this week
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 8 years ago
• NervanaSystems / cuda-convnet2
  Custom fork containing our own python backend for integration into neon
  ☆15Updated last year
• soumith / cuda-convnet2.torch
  Torch7 bindings for cuda-convnet2 kernels!
  ☆40Updated 8 years ago
• sudeepraja / BLSTM-for-supervised-sequence-recognition
  General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data
  ☆28Updated 10 years ago
• strin / DeepBayes
  Code for Max-Margin Deep Generative Models
  ☆13Updated 9 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆29Updated 8 years ago
• zmonoid / mxdqn
  MXNet implementation of Deep Q-learning
  ☆34Updated 6 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• jaberg / DeepLearningBenchmarks
  ☆74Updated 12 years ago
• auroraxie / Kaggle-NDSB
  doc and model for NDSB
  ☆31Updated 9 years ago
• zmonoid / mxasyn
  Asynchronous One Step Q Learning implemented with MXNET
  ☆20Updated 7 years ago
• bigaidream / qan
  ☆55Updated this week
• lmjohns3 / rbm
  Restricted Boltzmann Machines
  ☆90Updated 9 years ago
• JonathanRaiman / cython_lstm
  LSTM Python library using Cython
  ☆38Updated 9 years ago
• glouppe / talk-bayesian-optimisation
  Talk on "Bayesian optimisation", beginner level
  ☆25Updated 8 years ago
• meierue / RNNLIB
  A recurrent neural network library for sequence learning problems.
  ☆45Updated 8 years ago
• bayerj / theano-rnn
  Recurrent neural networks with theano.
  ☆28Updated 14 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• DSG-SoftServe / DRL
  Deep Reinforcement Learning Agent
  ☆19Updated 8 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated 11 months ago
• uoguelph-mlrg / theano_multi_gpu
  ☆34Updated 7 years ago
• uoguelph-mlrg / Theano-MPI
  MPI Parallel framework for training deep learning models built in Theano
  ☆53Updated 7 years ago
• szagoruyko / openai-gemm.pytorch
  PyTorch bindings for openai-gemm
  ☆20Updated 7 years ago
• rnduja / torch-examples
  ☆36Updated this week
• brian473 / neural_rl
  Reinforcement learning with a convolutional neural network.
  ☆36Updated 9 years ago
• katakombi / rnnlm
  Recurrent Neural Network language modeling toolkit
  ☆39Updated 10 years ago