ppletscher / phd-thesis-sample

Related projects ⓘ

Alternatives and complementary repositories for phd-thesis-sample

• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• BiuBiuBiLL / InfoFeatureSelection
  Variational Information Maximization for Feature Selection
  ☆11Updated 8 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 6 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆57Updated 4 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆66Updated 5 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆38Updated 8 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 8 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆110Updated last year
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆74Updated 4 years ago
• alshedivat / DeterminantalPointProcesses.jl
  Determinantal Point Processes in Julia
  ☆12Updated 4 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆31Updated 5 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆24Updated 6 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆17Updated 3 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆70Updated 8 years ago
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆18Updated 5 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆104Updated 5 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 4 years ago
• LCSL / RegML
  ☆12Updated 3 years ago
• LCSL / FALKON_paper
  FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
  ☆29Updated 4 years ago
• HIPS / author-roulette
  LaTeX package for randomizing author order based on a public seed.
  ☆39Updated 9 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆38Updated 3 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• ppletscher / BCFWstruct
  Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
  ☆25Updated 11 years ago
• ronaldiscool / VAETutorial
  ☆17Updated 4 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆22Updated 4 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆32Updated 5 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago