sk-seungmin0902

Med-PaLM

Towards Generalist Biomedical AI

tcl

Official implementation of TCL (CVPR 2023)

saint

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

stable-diffusion

A latent text-to-image diffusion model

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Awesome-Video-Diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

Stable-Diffusion-Inpaint

Stable diffusion for inpainting

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

ViT-V-Net_for_3D_Image_Registration_Pytorch

Vision Transformer for 3D medical image registration (Pytorch).

ConResNet

[IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

MONAI

AI Toolkit for Healthcare Imaging

NiftyMIC

NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.

DLCA

A pytorch implementation of DLCA

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).

Transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

pytorch-polynomial-lr-decay

Polynomial Learning Rate Decay Scheduler for PyTorch

vision_transformer

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

vit-pytorch

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

DPT

Dense Prediction Transformers

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

ResNeSt

ResNeSt: Split-Attention Networks

GLIA-Net

A segmentation network for intracranial aneurysm on CTA images using pytorch

Surface-Defect-Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.