Xingyu-Lin

Xingyu Lin's repositories

softgym

SoftGym is a set of benchmark environments for deformable object manipulation.

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mbpo_pytorch

A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

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VCD

Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing

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softagent

Algorithms for deformable object manipulation benchmarked in SoftGym

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DiffSkill

Official code for the paper DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools

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auxiliary-tasks-rl

Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning

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PASTA

Official implementation of the DiffSkill and PASTA algorithms for long-horizon, skill-based deformable object manipulation.

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chester

Costumized tool aiming at launching and organizing (RL/DL) experiments.

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ChurchX

A Computer Graphics Course Project for rendering a real-life church scene based on progressive photon mapping with scatter participating medium

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16831-spring-2021

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dfm_env

Environments for manipulating deformable objects

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Multiworld

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UThread

A user-level thread library implemented for OS course

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dragon-book-exercise-answers

Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。

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JosLab_2015

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AdaptiveVariance

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cmu_10-715_f2017

Carnegie Mellon's 10-715: Advanced Introduction to Machine Learning

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dm_control

The DeepMind Control Suite and Package

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face-alignment

Face alignment in 3000 FPS

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face-alignment-at-3000fps

an implementation of Face Alignment at 3000fps via Local Binary Features

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garage

A toolkit for reproducible reinforcement learning research.

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homepage

Homepage

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learning-to-learn-lstm

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libigl-examples

This repository contains examples applications that use libigl. They only work on MacOSX and they should be converted to tutorials.

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ManiSkill2-Learn

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OpenAIGymSolution

Solutions to OpenAI Gym

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pgm-spring-2019

Course webpage for PGM, Spring 2019.

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pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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Xingyu-Lin.github.io

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