Jingwen Sun's repositories

DOA

Unbiased Directed Object Attention Graph for Object Navigation

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allenact

An open source framework for research in Embodied-AI from AI2.

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awesome-multi-task-learning

2021 up-to-date list of papers on Multi-Task Learning (MTL), from Machine Learning perspective.

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

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Awesome-Vision-Attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

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awesome-vln

A curated list of research papers in Vision-Language Navigation (VLN)

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DAT

Dual Adaptive Thinking (DAT) for object navigation

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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GraphLearning

Python package for graph-based clustering and semi-supervised learning

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habitat-challenge

Code for the habitat challenge

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IROS2021PaperList

IROS 2021 paper list

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MJOLNIR

Python implementation of the paper Learning hierarchical relationships for object-goal navigation

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objectnav

Resources for Auxiliary Tasks and Exploration Enable ObjectNav

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OccupancyAnticipation

This repository contains code for our publication "Occupancy Anticipation for Efficient Exploration and Navigation" in ECCV 2020.

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PONI

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022 (Oral).

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PythonRobotics

Python sample codes for robotics algorithms.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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rl-book

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

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ros_x_habitat

A bridge betwwen the ROS ecosystem and AI Habitat.

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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