Uber Research

UPSNet

UPSNet: A Unified Panoptic Segmentation Network

sbnet

Sparse Blocks Networks

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

parallax

Tool for interactive embeddings visualization

learning-to-reweight-examples

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

jpeg2dct

intrinsic-dimension

atari-model-zoo

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

ape-x

This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"

safemutations

safemutations

backpropamine

Train self-modifying neural networks with neuromodulated plasticity

GTN

Synthetic-Petri-Dish

RxThreadEffectChecker

Static checker for Rx Threading Effects, based on the Checker Framework

D3G

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients

normative-uncertainty

Evolvability-ES

atari-reset

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

FSDM

Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model

ga-world-models