Alternatives and similar repositories for CoCoA

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

• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• fabianp / ProxASAGA
  Proximal Asynchronous SAGA
  ☆13Updated 8 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 13 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 4 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 8 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 6 years ago
• sixin-zh / mpiT
  MPI for Torch
  ☆60Updated 8 years ago
• gingsmith / proxcocoa
  A primal-dual framework for distributed L1-regularized optimization
  ☆36Updated 9 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago
• Bihaqo / TensorNet
  ☆141Updated 8 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆37Updated 6 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 8 years ago