Alternatives and similar repositories for descent:

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

• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 5 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 8 years ago
• uclaopt / TMAC
  TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods
  ☆46Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• ahwillia / HiddenMarkovModel.jl
  A module for fitting Hidden Markov Models in Julia
  ☆9Updated 8 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 4 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆83Updated 10 months ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• GDPlumb / SnFFT.jl
  ☆23Updated 7 years ago
• dfdx / Boltzmann.jl
  Restricted Boltzmann Machines in Julia
  ☆67Updated 5 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 8 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 6 years ago
• yunjhongwu / TensorDecompositions.jl
  A Julia implementation of tensor decomposition algorithms
  ☆45Updated 4 years ago
• treforevans / gp_grief
  [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions
  ☆21Updated 2 years ago
• mwytock / cvxflow
  ☆18Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 5 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆47Updated 9 years ago
• Bihaqo / TT-MRF
  ☆14Updated 9 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆16Updated 5 years ago
• imurray / pmslice-python
  Pseudo-Marginal Slice Sampling
  ☆18Updated 8 years ago
• optimizers / nlpy
  A Python package for optimization
  ☆60Updated 9 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• JuliaAttic / CUBLAS.jl
  Julia interface to CUBLAS
  ☆26Updated 5 years ago
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆37Updated 11 years ago