BenyaminGhN

BenyaminGhN's Stars

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.6k1192073.4k

• jacobgil/pytorch-grad-cam

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

  Language:Python10.9k454221.6k

• pditommaso/awesome-pipeline

  A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

  6.2k23027627

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.6k605842

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k4778605

• StartBootstrap/startbootstrap-resume

  A Bootstrap 4 resume/CV theme created by Start Bootstrap

  Language:Pug2.1k43542.6k

• AI-in-Health/MedLLMsPracticalGuide

  A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

  1.3k544116

• sicara/easy-few-shot-learning

  Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

  Language:Python1.1k16113151

• ckaestne/seai

  CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

  Language:Jupyter Notebook387211144

• iitzco/deepbrain

  Deep Learning tools for brain medical images

  Language:Python13541538

• erdogant/clustimage

  clustimage is a python package for unsupervised clustering of images.

  Language:Jupyter Notebook964278

• faizan1234567/Brain-Tumors-Segmentation

  Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.

  Language:Python631124

• nevoit/Siamese-Neural-Networks-for-One-shot-Image-Recognition

  One-shot Siamese Neural Network, using TensorFlow 2.0, based on the work presented by Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov. we used the “Labeled Faces in the Wild” dataset with over 5,700 different people. Some people have a single image, while others have dozens.

  Language:Jupyter Notebook59318

• yassouali/SCL

  :page_facing_up: Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

  Language:Python49435

• as791/Multimodal-Brain-Tumor-Segmentation

  Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.

  Language:Jupyter Notebook474317

• mnf2014/article_fft_wavelet_ecg

  article feature extraction time series

  412027

• adhaka3/Pyadiomics-based-glioma-grading

  This is a complete guide on how to do Pyradiomics based feature extraction and then, build a model to calculate the grade of glioma.

  Language:Jupyter Notebook25309

• mozanunal/digital-filtering-of-ecg-signal

  Digital filtering of a ECG signal

  Language:Jupyter Notebook152011

• Jityan/SCLfewshot

  The code for "SCL: Self-supervised contrastive learning for few-shot image classification"

  Language:Python12211

• fork123aniket/Visual-Contrastive-Learning-for-Few-shot-Image-Classification

  Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch

  Language:Python10200

• iAAA-event/iAAA-MRI-Challenge

  8112

• tkhan11/Time-Series-Feature-Extraction-ECG

  Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.

  Language:Jupyter Notebook8203

• ninglab/DrugRanker

  Language:Python7101

• chantsin/ecg-classification-via-fft

  Classifying ECG signals using machine learning and deep learning algorithms with the help of Fourier Transforms.

  Language:Jupyter Notebook61

• gradient-ai/few-shot-learning

  Language:Jupyter Notebook6

• MAI-Lab-West-China-Hospital/anomaly-detection-of-brain-MR-images

  Language:Python42

• cv21rgt/Eye-Disease-Classification-Few-Shot-Learning

  This repository will attempt to classify eye disease images using Few Shot Learning (FSL)

  Language:Jupyter Notebook3

• iAAA-event/iAAA-MRI-Contest-Image

  Language:Jupyter Notebook31

• AbhishekChavan31/Automatic-Optimal-N-Shot-learning-for-Brain-Tumor-Detection

  Automatic Optimal N-Shot learning for Brain Tumor Detection

  Language:Jupyter Notebook1

• kakou34/brain-mri-preprocessing

  Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

  Language:Python10