mevah

mevah's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.8k2261222.8k

• divamgupta/diffusionbee-stable-diffusion-ui

  Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

  Language:JavaScript12.4k107454607

• qubvel/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.1k796201.6k

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.2k383151.2k

• bndr/pipreqs

  pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

  Language:Python6.1k55275383

• MIC-DKFZ/nnUNet

  Language:Python5.6k772k1.7k

• microsoft/BioGPT

  Language:Python4.3k6991450

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.8k20279178

• wolny/pytorch-3dunet

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

  Language:Jupyter Notebook2k360491

• deepmedic/deepmedic

  Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

  Language:Python1k63201342

• tfzhou/ContrastiveSeg

  ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

  Language:Python654206984

• BBillot/SynthSeg

  Contrast-agnostic segmentation of MRI scans

  Language:Python35797892

• tfzhou/ProtoSeg

  CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

  Language:Python340172038

• NVIDIA/ai-assisted-annotation-client

  Client side integration example source code and libraries for AI-Assisted Annotation SDK

  Language:C++307234864

• ouenal/scribblekitti

  Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)

  Language:Python142111217

• BBillot/SynthSR

  A framework for joint super-resolution and image synthesis, without requiring real training data

  Language:Python13771824

• miykael/gif_your_nifti

  How to create fancy GIFs from an MRI brain image

  Language:Python1195831

• guanhuaw/MIRTorch

  A PyTorch-powered differentiable image reconstruction/optimization toolbox

  Language:Python11531119

• utcsilab/csgm-mri-langevin

  Language:Jupyter Notebook855611

• StanfordMIMI/skm-tea

  Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset

  Language:Python7741415

• xhu248/semi_cotrast_seg

  Language:Python65277

• ad12/meddlr

  A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

  Language:Python6031613

• nalinimsingh/interlacer

  Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

  Language:Jupyter Notebook38307

• majedelhelou/FC-Diffusion

  (ICIP 2023) Fuzzy-Conditioned Diffusion: Control the Degree of Hallucination in Image-Conditioned Diffusion

  Language:Jupyter Notebook15201

• LucasFidon/label-set-loss-functions

  Label-set loss functions for partial supervision in image segmentation

  Language:Python9400

• zhishenhuang/mri

  Language:Jupyter Notebook41

• ramp-kits/brain_age_with_site_removal

  Age prediction with site-effect removal: A challenge on the openBHB dataset that aims to i) predict age from derived 3D T1w anatomical MRI data while ii) removing site/scanner information from the learned representation.

  Language:Jupyter Notebook35

• cristinaperez9/research_project_metastasis

  Language:Python20

• jkkronk/ddpm4MRI

  Language:Python10

• russchua/NIfTI_Converter

  Convert (ima/mha/mnc) file formats to the universally accepted NIfTI format for Brain MRI.

  Language:Jupyter Notebook1200