Alternatives and similar repositories for pyfac

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

• danbar / fglib
  factor graph library
  ☆69Updated 6 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆35Updated 8 years ago
• siemanko / guided-policy-search
  Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
  ☆43Updated 10 years ago
• gkahn13 / gcg-old
  a library for deep reinforcement learning, with applications for navigation
  ☆16Updated 7 years ago
• abietti / dpmm
  Variational inference for Dirichlet process mixture models with multinomial mixture components.
  ☆35Updated 11 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆185Updated 2 years ago
• mbforbes / py-factorgraph
  Factor graphs and loopy belief propagation implemented in Python
  ☆192Updated 3 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
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆87Updated 7 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 10 years ago
• yunjhongwu / Sticky-HDPHMM-demo
  Sticky hierarchical Dirichlet process hidden Markov model for time series denoising
  ☆48Updated 9 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆32Updated 7 years ago
• avisingh599 / imitation-dagger
  [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.
  ☆79Updated 7 years ago
• mcastron / BBRL
  BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
  ☆34Updated 9 years ago
• cmdowney / psrnn
  Predictive State Recurrent Neural Networks
  ☆18Updated 5 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆64Updated 9 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• jstraub / dpMM
  Dirichlet Process Mixture Model sampling-based inference algorithms
  ☆14Updated 8 years ago
• jstraub / dpMMlowVar
  Bayesian nonparametric small-variance asymptotic clustering algorithms
  ☆20Updated 8 years ago
• flowersteam / explauto
  An autonomous exploration library
  ☆69Updated 5 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• RuiShu / tensorflow-gp
  Implementation of gaussian processes and bayesian optimization in tensorflow
  ☆10Updated 9 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆22Updated 6 years ago
• resibots / blackdrops
  Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
  ☆65Updated 3 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 7 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 8 years ago