Alternatives and similar repositories for mpi_learn

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

• optml / CoCoA
  ☆19Updated 7 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• uoguelph-mlrg / Theano-MPI
  MPI Parallel framework for training deep learning models built in Theano
  ☆54Updated 8 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆52Updated 4 months ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• jingli9111 / EUNN-tensorflow
  Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
  ☆73Updated 6 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆48Updated 11 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 7 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago
• matex-org / matex
  Machine Learning Toolkit for Extreme Scale (MaTEx)
  ☆111Updated 7 years ago
• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆87Updated 6 years ago
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆47Updated 6 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• BB-UCL / autograd-forward
  Autograd extension for forward mode autodiff
  ☆30Updated 7 years ago
• hep-lbdl / CaloGAN
  Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
  ☆110Updated last year
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• astooke / Synkhronos
  Extension to Theano for multi-GPU data parallelism
  ☆20Updated 7 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆110Updated 8 years ago
• larsmans / pylbfgs
  Python/Cython wrapper for liblbfgs
  ☆46Updated 7 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• ritchieng / resnet-tensorflow
  Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.
  ☆35Updated 8 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• aatapa / RLScore
  ☆68Updated last year
• ramkikannan / planc
  Distributed NMF/NTF Library
  ☆47Updated 9 months ago