The GitHub repository for the paper "Informer" accepted by AAAI 2021.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Python module for processing dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Sequence modeling benchmarks and temporal convolutional networks

Project ICEBERG: Image Computing for Enhancing Breast Cancer Radiomics

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.

A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset