oguriq's Stars
ibrahimethemhamamci/CT-CHAT
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
Luffy03/Large-Scale-Medical
[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
NVlabs/RADIO
Official repository for "AM-RADIO: Reduce All Domains Into One"
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
MrGiovanni/SuPreM
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
YtongXie/UniMiSS-code
[ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+
prov-gigapath/prov-gigapath
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
MITK/MITK
The Medical Imaging Interaction Toolkit.
AIM-Harvard/foundation-cancer-image-biomarker
Code and evaluation repository for the paper
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
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.
BUPT-GAMMA/GFMPapers
Must-read papers on graph foundation models (GFMs)
mahmoodlab/MAPS
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mlfoundations/open_clip
An open source implementation of CLIP.
mahmoodlab/MI-Zero
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
mahmoodlab/CONCH
A vision-language foundation model for computational pathology - Nature Medicine
mahmoodlab/UNI
Towards a general-purpose foundation model for computational pathology - Nature Medicine
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
mli/paper-reading
深度学习经典、新论文逐段精读
microsoft/LLaVA-Med
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
datawhalechina/torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
wangshusen/RecommenderSystem
Kobaayyy/Awesome-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
facebookresearch/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
gokceneraslan/awesome-deepbio
A curated list of awesome deep learning applications in the field of computational biology
facebookresearch/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
L1aoXingyu/pytorch-beginner
pytorch tutorial for beginners