kimberly-amador

kimberly-amador's Stars

• takluyver/jupyter-intro-xfel-jan17

  Introduction to Jupyter Notebook

  Language:Jupyter Notebook21386

• ezequieldlrosa/isles24

  Ischemic Stroke Lesion Segmentation Challenge 2024

  Language:Jupyter Notebook5

• BrainLesion/panoptica

  panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps

  Language:Python224

• ikboljon/tmss_miccai

  TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

  Language:Jupyter Notebook314

• yandexdataschool/roc_comparison

  The fast version of DeLong's method for computing the covariance of unadjusted AUC.

  Language:Python14841

• jaygshah/Robust-Brain-Age-Prediction

  [WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction

  Language:Python12

• Raschka-research-group/coral-pytorch

  CORAL and CORN implementations for ordinal regression with deep neural networks.

  Language:Python22725

• nhshin-mcl/MWR

  Language:Python7711

• glanceable-io/ordinal-log-loss

  Repository of the COLING 2022 paper : Ordinal Log-Loss - A simple log-based loss function for ordinal text classification.

  Language:Python273

• GarrettJenkinson/condor_tensorflow

  CONditionals for Ordinal Regression and classification in tensorflow

  Language:Python175

• ck37/coral-ordinal

  Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

  Language:Python8024

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.6k855

• mlyg/unified-focal-loss

  Language:Python15424

• katsura-jp/pytorch-cosine-annealing-with-warmup

  Language:Python44655

• layer6ai-labs/T-Fixup

  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"

  Language:Python8911

• artemmavrin/focal-loss

  TensorFlow implementation of focal loss

  Language:Python18642

• mkocabas/focal-loss-keras

  Focal Loss implementation in Keras

  Language:Python32874

• umbertogriffo/focal-loss-keras

  Binary and Categorical Focal loss implementation in Keras.

  Language:Python27867

• zeynelsamak/TranSOP

  For paper TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction

  Language:Python2

• lahoud/3d-vision-transformers

  A list of 3D computer vision papers with Transformers

  41232

• google-research/tuning_playbook

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

  27.8k2.3k

• MedicalImageAnalysisTutorials/ImageRegistrationTutorial

  This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!

  Language:Jupyter Notebook296

• ANTsX/ANTsPy

  A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

  Language:Python664167

• lucidrains/bidirectional-cross-attention

  A simple cross attention that updates both the source and target in one step

  Language:Python16012

• zhjohnchan/M3AE

  [MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

  Language:Python11711

• aruberts/TabTransformerTF

  TensorFlow implementation of TabTransformer

  Language:Jupyter Notebook8014

• yandex-research/rtdl

  Research on Tabular Deep Learning: Papers & Packages

  Language:Python928101

• neqkir/attention-mechanism

  around attention in transformers

  Language:Jupyter Notebook41

• CahidArda/tab-transformer-keras

  Implementation of TabTransformer, attention network for tabular data, in Keras

  Language:Python187

• lucidrains/tab-transformer-pytorch

  Implementation of TabTransformer, attention network for tabular data, in Pytorch

  Language:Python845104