GIST-AILAB (gist-ailab)

GIST-AILAB

gist-ailab

Geek Repo

Artificial Intelligence Lab, Institute of Integrated Technology, Gwangju Institute of Science and Technogloy (GIST)

Location:Gwangju, Republic of Korea

Home Page:ailab.gist.ac.kr

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GIST-AILAB's repositories

SleePyCo

This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning".

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block-selection-for-OOD-detection

This is an official implementation for "Block Selection Method for Using Feature Norm in Out-of-distribution Detection".

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uop-net

learning to place object stably using large-scale simulation

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domain-specific-block-selection-and-paired-view-pseudo-labeling-for-online-TTA

An official implementation of "Domain Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation", CVPR 2024.

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OmniIsaacGymEnvs

Reinforcement Learning Environments for Omniverse Isaac Gym

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insta-beer

Codes of paper "Fast and Accurate Unknown Object Instance Segmentation through Error-Informed Refinement"

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pose-anno-tool

Object and Hand pose annotation toolkit for occluded dataset project.

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BasicTS

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

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Co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

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CoDis

ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

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DDG

DDG: This repo contains the code for our IJCAI 2022 paper: Dynamic Domain Generalization.

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DG

DDG: This repo contains the code for our IJCAI 2022 paper: Dynamic Domain Generalization.

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diffae

2024 인공지능연구실 과학놀이터

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drone-mmdetection-jm

OpenMMLab Detection Toolbox and Benchmark

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edgeyolo

an edge-real-time anchor-free object detector with decent performance

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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robotics_python

Robotics Mathematical modeling and theory with Python (learning through extensive numerical simulations and animations.)

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scalingup

[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down

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