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a-meta-transfer-objective-for-learning-to-disentangle-causal-mechanisms

Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

aixijs

AIXIjs - General Reinforcement Learning in the Browser

ali-g

Implementation of the ALI-G algorithm (PyTorch, Tensorflow)

alphanpi

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

am-i-compositional

amortized_svgd

Experiments of amortized stein variational gradient

amortizedcausaldiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

apl

Open source implementation of Adaptive Posterior Learning (ICLR 2019)

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

attentive-neural-process

A Pytorch Implementation of Attentive Neural Process

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

auxiliaryvariationalmcmc

Code required to reproduce the experiments in Auxiliary Variational MCMC

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bdqn-mxnet-gluon

Efficient Exploration through Bayesian Deep Q-Networks

bear

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

bmaml

This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.

bmaml_rl

This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.

bmil

Code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)

bnlearn

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

boxoban-levels

This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.

brims

Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)

causal

Discovering directional relations via minimum predictive information regularization

causaldiscoverytoolbox

causality

Tools for causal analysis

causality-1

Kaggle's Causality Challenge Solution for team FirfiD

causalworld

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning