Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

An offline deep reinforcement learning library

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

Pytorch implementation of RetinaNet object detection.

Probabilistic Roadmap Planner with VREP Simulation for LocoBot

PoseNet localization task implementation on Apolloscape dataset with PyTorch.

A standalone library to randomize various OpenAI Gym Environments

Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)

PyTorch implementations of algorithms for density estimation

Collection of Python snippets for processing LiDAR point cloud.

Gaussian Process Optimization using GPy

Tensorflow implementation of bilinear sampler with vector field

Tensorflow implementation of paper "unsupervised image to image translation networks"

Examplar Inpainting using OpenCV

A tutorial series for learning OpenCL

Unity+OpenCV+Android

The public CGAL repository, see the README below

Work through some of the OpenCV tutorials.