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promp

ProMP: Proximal Meta-Policy Search

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

py-causal

pybnn

Bayesian neural network package

pytorch-curveball

A second-order optimizer for deep networks

pytorch-gtmm

pytorch-rdpg

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

rcps

Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

recurrent-independent-mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

relational-rnn-pytorch

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

revae-demo

riem-svgd

Codes for "Riemannian Stein Variational Gradient Descent for Bayesian Inference" (AAAI-18)

rl-difference-testing

Simple tools for statistical analyses in RL experiments

rlgt

Rlgt is an R package for Bayesian Exponential Smoothing

robo

RoBO: a Robust Bayesian Optimization framework

rsvg

Recurrent Stochastic Value Gradient implementation with TensorFlow

rulesynthesis

Code for "Learning Compositional Rules via Neural Program Synthesis"

sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

sd-fsic

segmentation

crowdsourcing segmentation analysis code

self-tuning-networks

PyTorch implementation of "STNs" and "Delta-STNs"

set_transformer

Pytorch implementation of set transformer

sghmc_dgp

sic

Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019

singlemodeluncertainty

Learning error bars for neural network predictions

sivi

Use neural network to construct expressive hierarchical distribution; Optimizing a novel bound with theoretical guarantees; A fast and robust method with accurate uncertainty estimation. (ICML 2018)

sls

Implements stochastic line search