YidFeng

YidFeng's Stars

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX50k5592044.9k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.2k286422.3k

• togethercomputer/OpenChatKit

  Language:Python9k121981k

• NVlabs/stylegan2-ada-pytorch

  StyleGAN2-ADA - Official PyTorch implementation

  Language:Python4.1k502641.2k

• Kent0n-Li/ChatDoctor

  Language:Python3.5k5551406

• radi-cho/awesome-gpt4

  A curated list of prompts, tools, and resources regarding the GPT-4 language model.

  2.1k396127

• xinntao/EDVR

  Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

  Language:Python1.5k57199318

• toshas/torch-fidelity

  High-fidelity performance metrics for generative models in PyTorch

  Language:Python1k73664

• ermongroup/SDEdit

  PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

  Language:Python994232892

• InsightSoftwareConsortium/SimpleITK-Notebooks

  Jupyter notebooks for learning how to use SimpleITK

  Language:Jupyter Notebook8394776349

• mims-harvard/PrimeKG

  Precision Medicine Knowledge Graph (PrimeKG)

  Language:Jupyter Notebook422131793

• cambridgeltl/visual-med-alpaca

  Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

  Language:Python369161041

• lucidrains/medical-chatgpt

  Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis

  Language:Python31331433

• pacifinapacific/StyleGAN_LatentEditor

  Language:Python240101852

• mims-harvard/graphml-tutorials

  Tutorials for Machine Learning on Graphs

  Language:Jupyter Notebook2089155

• zhaozh10/ChatCAD

  [COMMSENG'24, TMI'24] Interactive Computer-Aided Diagnosis using LLMs

  Language:Python13161016

• xh-liu/CC-FPSE

  Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"

  Language:Python12881415

• vkola-lab/ncomms2022

  Multimodal deep learning for Alzheimer's disease dementia assessment

  Language:Python9411225

• lin-lcx/HGCN

  Language:Python572149

• babylonhealth/counterfactual-diagnosis

  Language:Python557221

• DongSky/LPT

  Language:Python50233

• chunmeifeng/MINet

  【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

  Language:Python45277

• woxuankai/SpatialAlignmentNetwork

  code for Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network

  Language:Python43287

• DigitalBiomarkerDiscoveryPipeline/Digital_Health_Data_Repository

  The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.

  39537

• cszy98/SAFM

  Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis (CVPR2022)

  Language:Python34144

• ckkelvinchan/offset-fidelity-loss

  Language:Python30333

• cmu-transparency/aaai-2021-tutorial

  Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang

  181002

• batuhankmkaraman/mlbasedad

  Code for the paper titled "Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study"

  Language:Python12403

• bozdaglab/PPAD

  Predicting Progression of Alzheimer’s Disease

  Language:Jupyter Notebook3020

• SJTUBME-QianLab/CFGNN-PDarising

  Language:Python3100