holdenlee / simons-ml

Related projects ⓘ

Alternatives and complementary repositories for simons-ml

• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 10 years ago
• approximateinference / approximateinference
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆47Updated 3 months ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 7 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆70Updated 8 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 7 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 5 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 6 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 6 years ago
• naesseth / nestedsmc
  Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
  ☆14Updated 9 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• ericjang / variance_reduction
  Implementation of Variance Reduction Techniques in Julia
  ☆11Updated 8 years ago
• fabianp / DSOML_2017
  ☆12Updated 7 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 4 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago
• tbroderick / mlss2015_bnp_tutorial
  ☆23Updated 8 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• Bihaqo / TT-MRF
  ☆14Updated 9 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 5 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 7 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 6 years ago
• GRAAL-Research / PAC-Bayes_sample_compress_for_kernel_methods
  Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
  ☆9Updated 10 years ago
• andrewcron / dpmix
  Python library for fitting massive mixture models using DP priors and GPU computation.
  ☆23Updated 8 years ago