pzSuen's Stars
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
jingyi0000/VLM_survey
Collection of AWESOME vision-language models for vision tasks
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
sail-sg/poolformer
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
huytransformer/Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
jjbrophy47/machine_unlearning
Existing Literature about Machine Unlearning
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
mahmoodlab/HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
unlearning-challenge/starting-kit
Starting kit for the NeurIPS 2023 unlearning challenge
maduc7/Histopathology-Datasets
Ressources of histopathology datasets
YutingHe-list/Awesome-Foundation-Models-for-Advancing-Healthcare
We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264
YBZh/EFDM
Official PyTorch codes of CVPR2022 Oral: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
owkin/HistoSSLscaling
Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀
arthurdouillard/dytox
Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
KatherLab/marugoto
Tools to build deep learning pipelines.
Yunkun-Zhang/CITE
Official code of MICCAI'23 paper "Text-guided Foundation Model Adaptation for Pathological Image Classification"
Jin-Ying/Multi-Level-Logit-Distillation
Code for 'Multi-level Logit Distillation' (CVPR2023)
fzh0917/SparseTT
The official implementation for paper "SparseTT: Visual Tracking with Sparse Transformers"
macarbonneau/MILSurvey
Code for Experiments in “Multiple Instance Learning: A Survey of Problem Characteristics and Applications,”
Zhengyushan/kat
The code for Kernel attention transformer (KAT)
lin-lcx/H2-MIL
agentdr1/LA_MIL
Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
christianabbet/SRA
KimiaLabMayo/HistopathologyFeatureExtractors
Histopathology Feature Extractors (2024)
Chrisa142857/PolarNet-GCdet
Code available of a preprint paper "Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data"
KatherLab/MediSwarm
MediSwarm is an open-source project for advancing medical deep learning using swarm intelligence and NVFlare. Developed by the Odelia consortium, it ensures data privacy through federated learning, enabling collaborative, decentralized model training across institutions for improved medical research and applications.
DeepMicroscopy/MultiScanner_SCC
BiomechDevOps/Histology-Image-Viewer-and-Converter
Histology Image Viewer and Converter