Aligh1997

Aligh1997's Stars

• SUN-1024/DA-TransUnet

  DA-TransUNet: Combining Dual Attention of Position and Channel with Transformer U-net for Medical Image Segmentation

  Language:Python12612

• jacknayem/Introduction-to-TensorFlow-for-Artificial-Intelligence

  I need to understand how to use the tools to build scalable AI-powered algorithms. All of the file I have practice during taking the course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.

  Language:Jupyter Notebook62

• clguo/SA-UNet

  The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

  Language:Python23746

• ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo

  collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

  Language:Jupyter Notebook34489

• McGregorWwww/UCTransNet

  Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.

  Language:Python38349

• CmrxRecon/CMRxRecon2024

  Code for the Cardiac MRI Reconstruction Challenge 2024 (CMRxRecon2024)

  Language:Jupyter Notebook173

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python71.2k8.4k

• GaParmar/img2img-turbo

  One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

  Language:Python1.6k187

• SharifiZarchi/Introduction_to_Machine_Learning

  Machine Learning Course, Sharif University of Technology

  Language:Jupyter Notebook1.4k247

• MIC-DKFZ/batchgenerators

  A framework for data augmentation for 2D and 3D image classification and segmentation

  Language:Jupyter Notebook1.1k221

• lee-zq/3DUNet-Pytorch

  3DUNet implemented with pytorch

  Language:Python501111

• veeralakrishna/DataCamp-Project-Solutions-Python

  DataCamp Project Solutions

  Language:Jupyter Notebook405145

• InsightSoftwareConsortium/SimpleITK-Notebooks

  Jupyter notebooks for learning how to use SimpleITK

  Language:Jupyter Notebook839349

• ytdl-org/youtube-dl

  Command-line program to download videos from YouTube.com and other video sites

  Language:Python132k10k

• Rkabacoff/RiA3

  Source code for Kabacoff, R. R in Action (3rd edition). Manning: Boca Raton, FL.

  Language:R10765

• TylerYep/torchinfo

  View model summaries in PyTorch!

  Language:Python2.6k122

• ANTsX/ANTsPy

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

  Language:Python643163

• gvgramazio/latex-fontawesome6

  Bindings for FontAwesome 6 icons to be used in XeLaTeX.

  Language:TeX5

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.9k683

• SimpleITK/TUTORIAL

  Language:Jupyter Notebook10448

• MIC-DKFZ/HD-BET

  MRI brain extraction tool

  Language:Python28167

• SimpleITK/SimpleITK

  SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

  Language:SWIG904204

• waleedka/hiddenlayer

  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

  Language:Python1.8k267

• mert-kurttutan/torchview

  torchview: visualize pytorch models

  Language:Python82839

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook3.6k1.3k

• MIC-DKFZ/nnUNet

  Language:Python5.9k1.8k

• elmoallistair/datacamp

  courses i've taken in datacamp

  Language:HTML3023

• PacktPublishing/Interpretable-Machine-Learning-with-Python-2E

  Interpretable ML with Python, 2E - published by Packt

  Language:Jupyter Notebook8337

• PacktPublishing/Scientific-Computing-with-Python-Second-Edition

  Scientific Computing with Python - Second Edition, published by Packt

  Language:HTML6034

• PacktPublishing/Deep-Learning-with-TensorFlow-and-Keras-3rd-edition

  Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt

  Language:Jupyter Notebook178110