中文nlp解决方案(大模型、数据、模型、训练、推理)

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"

a respository for imbalanced self-supervised representation learning

深度学习经典、新论文逐段精读

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

Code and materials for paper "Contrastive machine learning reveals the structure of neuroanatomical variation within Autism"

CVPR 2022 papers with code (论文及代码）

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycle…

Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 2022

Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)

Datasets, Transforms and Models specific to Computer Vision

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit a…

Survival analysis in MATLAB

A collection of resources on applications of Transformers in Medical Imaging.

3D U-Net model for volumetric semantic segmentation written in pytorch

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

deep learning for image processing including classification and object-detection etc.

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

The codes for the work "A Local and Global Feature Disentangled Network: Toward Classification of Benign-malignant Thyroid Nodules from Ultrasound Image"

Attention-based Deep MIL implementation and application

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

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

MRI radiomics and machine learning atypical cartilaginous tumor and G2 chondrosarcoma classification project

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Open Machine Learning Course

The official implementation of work xxx

Code for our MICCAI 2021 paper "AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases".

PyTorch Tutorial for Deep Learning Researchers