Alternatives and similar repositories for ProbabilisticGraphicalModels:

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

• radum2275 / merlin
  An extensible C++ library for probabilistic inference in graphical models.
  ☆53Updated 4 months ago
• probsys / optimal-approximate-sampling
  Optimal approximate sampling from discrete probability distributions
  ☆17Updated 3 years ago
• facebookresearch / starcraft_defogger
  Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
  ☆31Updated 3 years ago
• suragnair / Im2LaTeX
  An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
  ☆17Updated 8 years ago
• ramon-oliveira / deepstats
  Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.
  ☆12Updated 7 years ago
• ermongroup / cs323-notes
  Course notes for CS323: Automated Reasoning
  ☆41Updated 7 years ago
• uclnlp / d4
  Differentiable Forth Interpreter
  ☆68Updated 6 years ago
• CSRI / PraxiconDB
  A conceptual knowledge base in which concepts have both symbolic and corresponding sensorimotor representations
  ☆1Updated last year
• google-deepmind / torch-oocairo
  Cairo lua bindings with extensions for torch
  ☆15Updated 8 years ago
• dohmatob / gambling
  Code for paper "A simple algorithm for computing Nash-equilibria in incomplete information games"
  ☆10Updated 7 years ago
• HerveFrezza-Buet / RLlib
  C++ library for reinforcement learning
  ☆51Updated last year
• aijunbai / thompson-sampling
  Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs
  ☆15Updated 8 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆16Updated 5 years ago
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆25Updated 4 years ago
• duvenaud / herding-paper
  Optimally-weighted herding is Bayesian Quadrature
  ☆16Updated 8 years ago
• jaberg / pyautodiff
  Automatic differentiation for NumPy
  ☆42Updated 11 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆28Updated last year
• dbtsai / libDAI
  A free and open source C++ library for Discrete Approximate Inference in graphical models
  ☆52Updated 12 years ago
• leotac / graph
  Graph algorithms in c++ and python. MST (Boruvka, Kruskal, Prim), TSP (double-tree, Christofides, ILP formulation + cutting planes), Eule…
  ☆18Updated 8 months ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 4 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• econtal / gp-optimization-python
  Implementation of my Bayesian Optimization algorithms
  ☆12Updated 6 years ago
• dave-fernandes / SaddleFreeOptimizer
  A second order optimizer for TensorFlow that uses the Saddle-Free method.
  ☆20Updated 5 years ago
• CarsonScott / CALM
  Conditional Associative Logic Memory
  ☆27Updated 7 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• emstoudenmire / parity
  Experiments learning the even-parity dataset with MPS (tensor trains)
  ☆23Updated last year
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆41Updated 12 years ago
• g4v4g4i / ArgABM
  An agent-based model for scientific inquiry based on abstract argumentation
  ☆11Updated 3 years ago