Alternatives and similar repositories for tbp

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

• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 6 years ago
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆86Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• UCLA-StarAI / LogisticCircuit
  Logistic Circuits
  ☆36Updated 5 years ago
• hhexiy / scip-dagger
  A branch-and-bound ILP solver
  ☆26Updated 6 years ago
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆25Updated 5 years ago
• afriesen / ftprop
  Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…
  ☆28Updated 7 years ago
• microsoft / PDP-Solver
  PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
  ☆41Updated last year
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• jkuck / BPNN
  ☆22Updated 3 years ago
• ermongroup / lagvae
  Lagrangian VAE
  ☆28Updated 6 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 4 years ago
• XiaoxiaoGuo / atari_uct
  Upper Confidence Tree Planner for ATARI games
  ☆19Updated 9 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated 7 months ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆47Updated 9 years ago
• Bihaqo / TT-MRF
  ☆14Updated 9 years ago
• FerranAlet / modular-metalearning
  ☆77Updated 4 years ago
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆13Updated 4 years ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆16Updated 8 months ago
• gd-zhang / Weight-Decay
  Regularization, Neural Network Training Dynamics
  ☆14Updated 5 years ago
• zalanborsos / online-variance-reduction
  Online Variance Reduction
  ☆14Updated 6 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• iosband / TabulaRL
  ☆65Updated last year
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆31Updated 4 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆65Updated 8 years ago
• YingzhenLi / SteinGrad
  Code release for the ICLR paper
  ☆20Updated 6 years ago