Alternatives and similar repositories for dldiy-practicals

Users that are interested in dldiy-practicals are comparing it to the libraries listed below

• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• rlouf / blog-benchmark-rwmetropolis
  Code to reproduce the results of 👇
  ☆18Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 4 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 7 years ago
• holdenlee / simons-ml
  Notes from Simons Institute program "Foundations of Machine Learning"
  ☆13Updated 8 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆60Updated 7 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last year
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• fastai / fastforest
  A forest that is fast
  ☆41Updated 6 years ago
• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 5 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 4 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 9 months ago
• BB-UCL / autograd-forward
  Autograd extension for forward mode autodiff
  ☆30Updated 7 years ago