Alternatives and similar repositories for nomad

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

• jlowin / pyautodiff
  Automatic differentiation for NumPy
  ☆101Updated 10 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• google-deepmind / torch-cephes
  Cephes Mathematical Functions library wrapped for Torch
  ☆49Updated 9 years ago
• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆58Updated 9 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆58Updated 10 years ago
• mila-iqia / picklable-itertools
  itertools. But picklable.
  ☆37Updated 10 years ago
• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆88Updated 6 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 7 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• ZigaSajovic / dCpp
  Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
  ☆151Updated 6 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• Sohl-Dickstein / Sum-of-Functions-Optimizer
  Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.
  ☆133Updated 4 years ago
• lisitsyn / tapkee
  A flexible and efficient С++ template library for dimension reduction
  ☆234Updated last week
• rgrosse / compositional_structure_search
  ☆46Updated 12 years ago
• fgerzer / apsis
  ☆25Updated 3 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆103Updated 7 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 3 weeks ago
• lukaszkaiser / NeuralGPU
  Code for the Neural GPU
  ☆49Updated 9 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆90Updated 9 years ago
• IoannisAntonoglou / optimBench
  Benchmark testbed for assessing the performance of optimisation algorithms
  ☆85Updated 11 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆210Updated 9 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago
• SheffieldML / deepGPy
  Deep GPs with GPy
  ☆31Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• mauriziofilippone / preconditioned_GPs
  Preconditioning Kernel Matrices
  ☆15Updated 9 years ago
• bamos / block
  An intelligent block matrix library for numpy, PyTorch, and beyond.
  ☆310Updated last year