saruarlive

saruarlive's Stars

• jacobgil/pytorch-grad-cam

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

  Language:Python10.3k444101.5k

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook7.5k1371043k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.3k142661k

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k134882.2k

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.8k82511388

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.7k893k1k

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook3.9k108742.4k

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k2338374

• gerdm/prml

  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

  Language:Jupyter Notebook2.1k330489

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2k18458240

• holtzy/The-Python-Graph-Gallery

  A website displaying hundreds of charts made with Python

  Language:HTML1.9k47149374

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.8k33636667

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k3164324

• wuhuikai/DeepGuidedFilter

  Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

  Language:Python8373037148

• jeya-maria-jose/Medical-Transformer

  Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

  Language:Python798791176

• sgugger/Deep-Learning

  A few notebooks about deep learning in pytorch

  Language:Jupyter Notebook578266113

• wjmaddox/swa_gaussian

  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

  Language:Jupyter Notebook438132181

• PhoenixDL/rising

  Provides everything needed for high performance data loading and augmentation in pytorch.

  Language:Jupyter Notebook315115328

• cpark321/uncertainty-deep-learning

  Language:Jupyter Notebook2258153

• fepegar/awesome-medical-imaging

  Awesome list of software that I use to do research in medical imaging.

  2019135

• Minerva-J/Pytorch-Segmentation-multi-models

  Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

  Language:Python1833743

• WaterKnight1998/SemTorch

  Language:Python1624915

• muellerzr/fastai-Experiments-and-tips

  My experiments and progress within various fastai applications

  Language:Jupyter Notebook57227

• mishgon/crfseg

  PyTorch implementation of Conditional Random Field layer

  Language:Python50321

• pytorch-ignite/code-generator

  Web Application to generate your training scripts with PyTorch Ignite

  Language:Vue4085323

• KUL-Radneuron/KUL_VBG

  A workflow to allow Freesurfer recon-all to run on brain image with gliomas

  Language:Shell283103

• GeorgeBatch/kvasir-seg

  [MediaEval Medico Challenge'2020]: Real-time polyp segmentation using U-Net with IoU loss

  Language:Jupyter Notebook15123

• HVL-ML/DAT255

  Material for the course DAT255: Deep Learning Engineering @ HVL

  Language:Jupyter Notebook9303

• computational-medicine/BMED360-2021

  In vivo imaging and physiological modelling (BMED360) - Spring 2021

  Language:Jupyter Notebook3201

• pglpm/binclassfound

  FOUNDations of machine-learning algorithms for BINary CLASSification

  Language:TeX3300