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Haobo Luo's Projects

awesome-meta-learning icon awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

coslam icon coslam

CoSLAM is a visual SLAM software that aims to use multiple freely moving cameras to simultaneously compute their egomotion and the 3D map of the surrounding scenes in a highly dynamic environment.

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplearning icon deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deoccnet icon deoccnet

DeOccNet: Learning to See Through Foreground Occlusions in Light Fields, WACV 2020.

ella icon ella

Code for the ICML 2013 and AAAI 2013 papers on ELLA

jetson-reinforcement icon jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

lifelong-monodepth icon lifelong-monodepth

About official implementation of "Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

procrustes icon procrustes

Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-book icon rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

robogrammar icon robogrammar

RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design (SIGGRAPH Asia 2020)

rt-2 icon rt-2

Democratization of RT-2 "RT-2: New model translates vision and language into action"

spark icon spark

This repository contains the ROS wrapper of Sparks's driver plus various ROS applications.

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

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