Alternatives and similar repositories for tbp:

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

• jkuck / BPNN
  ☆22Updated 3 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 6 years ago
• UCLA-StarAI / LogisticCircuit
  Logistic Circuits
  ☆35Updated 5 years ago
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 9 years ago
• QUVA-Lab / COMBO
  ☆50Updated 9 months 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 6 months ago
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆85Updated 6 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 6 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 8 years ago
• ermongroup / lagvae
  Lagrangian VAE
  ☆28Updated 6 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• microsoft / PDP-Solver
  PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
  ☆41Updated last year
• wgrathwohl / BackpropThroughTheVoidRL
  RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…
  ☆38Updated 7 years ago
• changliu00 / AWGF
  Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)
  ☆22Updated 5 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆44Updated 5 years ago
• ChunyuanLI / RAS
  AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
  ☆15Updated 6 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• xkianteb / ApproPO
  Reinforcement Learning with Convex Constraints
  ☆14Updated 3 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆126Updated 4 years ago
• YingzhenLi / SteinGrad
  Code release for the ICLR paper
  ☆20Updated 6 years ago
• paintception / Deep-Quality-Value-DQV-Learning-
  DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm
  ☆25Updated 2 years ago
• tuananhle7 / aesmc
  Library for Auto-Encoding Sequential Monte Carlo
  ☆18Updated last year
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 5 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• jingli9111 / EUNN-tensorflow
  Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
  ☆73Updated 5 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆47Updated 9 years ago
• locuslab / mixing
  The Mixing method: coordinate descent for low-rank semidefinite programming
  ☆15Updated 3 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago