rdlester / pyfacLinks
Python implementation of Sum-Product for Factor Graphs
☆44Updated 9 years ago
Alternatives and similar repositories for pyfac
Users that are interested in pyfac are comparing it to the libraries listed below
Sorting:
- factor graph library☆69Updated 6 years ago
- a library for deep reinforcement learning, with applications for navigation☆16Updated 7 years ago
- Factor graphs and loopy belief propagation implemented in Python☆194Updated 3 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆187Updated 2 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆50Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 8 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆44Updated 11 years ago
- Implementation of gaussian processes and bayesian optimization in tensorflow☆10Updated 9 years ago
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆89Updated 7 years ago
- ☆69Updated 7 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Updated 8 years ago
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- Code for doubly stochastic gradients☆26Updated 11 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.☆83Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 7 years ago
- Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backend☆27Updated 5 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.☆16Updated 8 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 6 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago