mrymaltin

SST

The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"

TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

AiM

Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"

STraTS

iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

tft-sgd

Gradient-based Temporal Fusion Transformer

COVID-19-age-groups

Interpreting age groups impact on COVID-19 using deep learning timeseries models

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

BGLP_BG_forcasting

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

coldstartbglp

Time-Series-Library

A Library for Advanced Deep Time Series Models.

multi-output-glucose-forecasting

The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 2018

nbeatsx

garnn_public

llama3

The official Meta Llama 3 GitHub site

medical-data

vision_transformer

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Vision_Transformer

Vision Transformer (ViT) is a type of neural network architecture that has been introduced to address the problem of image classification. Unlike traditional convolutional neural networks (CNNs), which rely on convolutions to extract local features from an image, ViT employs a self-attention mechanism to extract global features for classification.

Vision-Transformer-ViT

Pytorch ViT for Image classification on the CIFAR10 dataset

vit

Vision Transformer (ViT) model for image classification using PyTorch

pytorch-vit-minimum

Vision-Transformer minimum implementation for Classification, Image Captioning, Object Detection, etc.

Kilimanjaro_swinUNETR

TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

2D-Medical-Denoising-Diffusion-Probabilistic-Model-

This is the repository for the paper "2D Medical Image Synthesis Using Transformer-based Denoising Diffusion Probabilistic Model".

BiTr-Unet

This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].

MedViT

MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)

SEViT

Source code for MICCAI 2022 paper entitled: 'Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification'

ResViT

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis