Yanan Liu (yananliusdu)

yananliusdu

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Location:Bristol

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Yanan Liu's repositories

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autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

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scamp5d_interface

C++/python USB TCP interface

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Reservoir

Code for Reservoir computing (Echo state network)

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voc2coco

Convert VOC format XMLs to COCO format json

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universal_robot

ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)

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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

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grasp_annotation_tool

a simple Matlab gui for annotating rotated grasping bounding box

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yananliusdu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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morefusion

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020

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visual-chatgpt

VisualChatGPT

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bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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graph-neural-networks

GNN implementations with PyG

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PyRep

A toolkit for robot learning research.

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RLBench

A large-scale benchmark and learning environment.

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UnseenObjectClustering

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

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peract

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

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1D_CellularAutomata

1D_CellularAutomata

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mvp_grasp

Multi-Viewpoint Picking (ICRA 2019)

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Lecture

lecturing materials

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WebotRobotSim

robot simulation with webot

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Chapter16-Robot-Learning-in-Simulation

Chapter 16 Robot Learning in Simulation in book Deep Reinforcement Learning: example of Sawyer robot learning to reach the target with paralleled Soft Actor-Critic (SAC) algorithm, using PyRep for Sawyer robot simulation and game building. The environment is wrapped into OpenAI Gym format.

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