mrymaltin's Stars
labmlai/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, ... 🧠
meta-llama/llama3
The official Meta Llama 3 GitHub site
google-research/vision_transformer
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
beamandrew/medical-data
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
ddz16/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.
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Rubics-Xuan/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).
cchallu/nbeatsx
XiongxiaoXu/SST
The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"
icon-lab/ResViT
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
Omid-Nejati/MedViT
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
hp-l33/AiM
Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"
sindhura97/STraTS
igfox/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
shaoyanpan/2D-Medical-Denoising-Diffusion-Probabilistic-Model-
This is the repository for the paper "2D Medical Image Synthesis Using Transformer-based Denoising Diffusion Probabilistic Model".
faresmalik/SEViT
Source code for MICCAI 2022 paper entitled: 'Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification'
Kaicheng-Yang0828/Vision-Transformer-ViT
Pytorch ViT for Image classification on the CIFAR10 dataset
BruceResearch/BiTr-Unet
This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].
Hrazhan/vit
Vision Transformer (ViT) model for image classification using PyTorch
lhnguyen102/tft-sgd
Gradient-based Temporal Fusion Transformer
saiful9379/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.
health-ai-lab/BGLP_BG_forcasting
MARVELOUSBLESS/Kilimanjaro_swinUNETR
ChengzhePiao/coldstartbglp
ChengzhePiao/garnn_public
UVA-MLSys/COVID-19-age-groups
Interpreting age groups impact on COVID-19 using deep learning timeseries models
vincentmichael089/pytorch-vit-minimum
Vision-Transformer minimum implementation for Classification, Image Captioning, Object Detection, etc.