Alternatives and similar repositories for pytorch_probgraph

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

• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 2 months ago
• AI-DI / Brancher
  A user-centered Python package for differentiable probabilistic inference
  ☆203Updated 5 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆165Updated 6 months ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆102Updated 6 years ago
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 6 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated last year
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated 2 years ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆114Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 4 years ago
• mblondel / teaching
  ☆85Updated 4 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆157Updated 3 years ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆26Updated 7 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• uber-research / metropolis-hastings-gans
  ☆116Updated 2 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆81Updated 6 years ago
• hottbox / hottbox
  HOTTBOX: Higher Order Tensors ToolBOX.
  ☆171Updated 5 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 6 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 6 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆105Updated 5 years ago
• cair / convolutional-tsetlin-machine-tutorial
  Tutorial on the Convolutional Tsetlin Machine
  ☆53Updated 4 years ago
• BlackHC / mnist_by_zip
  Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying…
  ☆35Updated 5 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆54Updated 5 years ago