Models 197
wanglab/ecg-fm-preprint
ECG-FM is a foundation model for electrocardogram (ECG) analysis. Please refer to our GitHub for more details.
PKUDigitalHealth/ECGFounder
This is the official implementation of our paper "An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Ev…
mkaichristensen/echo-clip
mkaichristensen/echo-clip-r
braindecode/eegpt-pretrained
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
timm/efficientnet_b3.ra2_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
timm/efficientnetv2_rw_m.agc_in1k
A EfficientNet-v2 image classification model. This is a `timm` specific variation of the architecture. Trained on ImageNet-1k in `timm` usin…
egeozsoy/EndoViT
This section provides a quick start example for using the EndoViT model.
facebook/esm2_t36_3B_UR50D
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range o…
facebook/esm2_t33_650M_UR50D
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range o…
timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1k
An EVA02 image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned…
timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k
An EVA02 image classification model. Pretrained on Merged-38M (IN-22K, CC12M, CC3M, COCO (train), ADE20K (train), Object365, and OpenImages)…
LGAI-EXAONE/EXAONEPath
[`Paper`] [`Github`] [`Model`] [`BibTeX`]
numansaeed/fetalclip-model
jusiro2/FLAIR
If you find this repository useful, please consider citing: @article{FLAIR, title = {A Foundation Language-Image Model of the Retina (FLAIR)…
ctheodoris/Geneformer
Geneformer is a foundational transformer model pretrained on a large-scale corpus of human single cell transcriptomes to enable context-awar…
majiabo/GPFM
GPFM is a pathology foundation model based on ViT-L/14 (DINOv2 configuration) for extracting general visual features from histopathology til…
IDEA-Research/grounding-dino-base
The Grounding DINO model was proposed in Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection by Shilong L…
bioptimus/H-optimus-0
`H-optimus-0` is an open-source foundation model for histology, developed by Bioptimus. The model is a 1.1B parameter vision transformer tra…
bioptimus/H-optimus-1
`H-optimus-1` foundation model for histology, developed by Bioptimus.
bioptimus/H0-mini
`H0-mini` is a lightweight foundation model for histology developed by Owkin and Bioptimus.
PKUDigitalHealth/HeartLang
histai/hibou-b
Hibou-B - a Foundational Vision Transformer for digital pathology pretrained on a private dataset using DINOv2 framework.
histai/hibou-L
Hibou-L - a Foundational Vision Transformer for digital pathology pretrained on a 1.2B image private dataset using DINOv2 framework.
facebook/hiera-large-224-hf
Vision transformers like ViT use the same spatial resolution and number of features throughout the whole network. But this is inefficient: t…
Edoardo-BS/hubert-ecg-base
Original code at https://github.com/Edoar-do/HuBERT-ECG
Edoardo-BS/hubert-ecg-large
Original code at https://github.com/Edoar-do/HuBERT-ECG
facebook/ijepa_vith14_1k
1. without relying on pre-specified invariances to hand-crafted data transformations, which tend to be biased for particular downstream task…
OpenGVLab/InternVideo2-Stage2_1B-224p-f4
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
OpenGVLab/InternViT-300M-448px-V2_5
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](…