Instagram Scraper. Scrape useful data/posts from instagram users, hashtag and locations pages. Comments and people who liked specific posts and soon more. No login or API keys are required

This repository contains demos I made with the Transformers library by HuggingFace.

Jupyter notebooks for learning how to use SimpleITK

Kitware Course in Biomedical Image Analysis and Visualization: ITK

Code examples in pyTorch and Tensorflow for CS230

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.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle

Brain Tumor Segmentation done using U-Net Architecture.

PyTorch Tutorials from my YouTube channel

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of…

Keras implementation of paper by the same name

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Brain Tumor Detection Using Convolutional Neural Networks.

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Deep Learning Specialization by Andrew Ng on Coursera.

Deep Learning Specialization by Andrew Ng on Coursera.

Exercises for Andrew Ng's Deep Learning Coursera

Read, modify and write DICOM files with python code

Coding articles to level up your development skills