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obin's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

curl icon curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

drq icon drq

DrQ: Data regularized Q

habitat-lab icon habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

habitat-sim icon habitat-sim

A flexible, high-performance 3D simulator for Embodied AI research.

just-the-docs icon just-the-docs

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

matterport icon matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

midlevel-reps icon midlevel-reps

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

models icon models

Models and examples built with TensorFlow

multiagent-particle-envs icon multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

neural-slam icon neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

pcgrad icon pcgrad

Code for "Gradient Surgery for Multi-Task Learning"

pcl icon pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

pix2pix icon pix2pix

Image-to-image translation with conditional adversarial nets

primal2 icon primal2

Training code PRIMAL2 - Public Repo

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

rpf icon rpf

Visual Memory for Robust Path Following

savn icon savn

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

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