Alternatives and similar repositories for exp-machines

Users that are interested in exp-machines are comparing it to the libraries listed below

• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• hoytak / pyksvd
  A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
  ☆80Updated 5 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 8 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 2 months ago
• jbornschein / bihm
  Bidirectional Helmholtz Machines
  ☆40Updated 9 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 8 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• caglar / adasecant_wshp_paper
  Code for the arxiv paper
  ☆9Updated 10 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 9 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆110Updated 8 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 9 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• jcatw / scnn
  Implementation of search-convolutional neural networks (SCNNs)
  ☆51Updated 8 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago