Lee-Gihun's Stars
facebookresearch/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.
jojoldu/junior-recruit-scheduler
주니어 개발자 채용 정보
KarhouTam/FL-bench
Benchmark of federated learning. Dedicated to the community. 🤗
Lee-Gihun/MEDIAR
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Lee-Gihun/FedNTD
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
Lee-Gihun/MixCo-Mixup-Contrast
(NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
joonkeekim/Instructive-Decoding
Official repository of "Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions", ICLR 2024 Spotlight
raymin0223/self-contrastive-learning
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)
Lee-Gihun/MicroNet_OSI-AI
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
Lee-Gihun/FedSOL
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"