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Pen and paper exercises in machine learning
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.
Collection of awesome medical dataset resources.
🏆 A ranked list of awesome python developer tools and libraries. Updated weekly.
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
An educational resource to help anyone learn deep reinforcement learning.
[IEEE Transactions on Medical Imaging/TMI] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"
Pytorch implementation of DUT: Learning Video Stabilization by Simply Watching Unstable Videos
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
Curated list of project-based tutorials
Source code behind the python-patterns.guide site by Brandon Rhodes
Various tutorials given for welcoming new students at MILA.
A short tutorial on performing fine tuning or transfer learning in PyTorch.
A curated list of awesome repos and tutorials to develop great matplotlib graphs and diagrams
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Official repository for "Self-Supervised Video Transformer" (CVPR'22)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
nii2dcm: NIfTI to DICOM creation with Python
Some custom dataset examples for PyTorch
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Segment Anything in Medical Images
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
A curated list of awesome Machine Learning frameworks, libraries and software.