Stars
LPIPS metric. pip install lpips
[ICLR2024] Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
The Pre-lease github repository of ECHOPULSE: ECG CONTROLLED ECHOCARDIO- GRAMS VIDEO GENERATION
Reproduction of the first step in the text-to-video model Phenaki. Code and model weights for the Transformer-based autoencoder for videos called CViViT.
Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch
Wan: Open and Advanced Large-Scale Video Generative Models
Denoising Diffusion Probabilistic Models
Toolbox of models, callbacks, and datasets for AI/ML researchers.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Plot standard multi lead ECG/EKG chart with Python
scientisst / BioSPPy
Forked from PIA-Group/BioSPPyBiosignal Processing in Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Some code for processing and analysing UK Biobank cardiac MR images.
3D ResNets for Action Recognition (CVPR 2018)
A python library for self-supervised learning on images.
Official implementation of "Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging".
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Medical imaging processing for AI applications.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Машинное обучение на ФКН ВШЭ
3D U-Net model for volumetric semantic segmentation written in pytorch
Automatically find issues in image datasets and practice data-centric computer vision.
🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.