Alternatives and similar repositories for descent

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

• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 8 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆26Updated 7 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆17Updated 6 years ago
• cjones6 / cubic_reg
  Implementation of Nesterov and Polyak's (2006) cubic regularization algorithm and Cartis et al's (2011) adaptive cubic regularization alg…
  ☆18Updated 3 years ago
• yunjhongwu / TensorDecompositions.jl
  A Julia implementation of tensor decomposition algorithms
  ☆46Updated 5 years ago
• dwd31415 / tensorflow-diff-eq
  Simulate differential equations using TensorFlow
  ☆19Updated 8 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆88Updated last year
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆84Updated last year
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• GDPlumb / SnFFT.jl
  ☆23Updated 8 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆59Updated 5 years ago
• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆209Updated 10 months ago
• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆71Updated 4 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 6 years ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆28Updated 5 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆94Updated 3 years ago
• skolouri / Cumulative-Distribution-Transform
  Cumulative Distribution Transform
  ☆16Updated 8 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆17Updated 6 years ago
• liuyxpp / mpltex
  A python package for producing publication quality images using matplotlib.
  ☆104Updated 5 years ago
• sphinxteam / Boltzmann.jl
  Restricted Boltzmann Machines in Julia
  ☆15Updated 8 years ago
• wildart / ManifoldLearning.jl
  A Julia package for manifold learning and nonlinear dimensionality reduction
  ☆94Updated last year
• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆257Updated 10 months ago
• T-Flet / GPy-ABCD
  A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system
  ☆15Updated 2 years ago
• uclaopt / TMAC
  TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods
  ☆48Updated 8 years ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆194Updated 12 years ago
• dfdx / Boltzmann.jl
  Restricted Boltzmann Machines in Julia
  ☆69Updated 5 years ago
• ryokamoi / sg_langevin
  Implementation of Stochastic Gradient Langevin Dynamics
  ☆13Updated 7 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• mrocklin / sparse
  ☆26Updated 7 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago