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Machine Learning Engineering Open Book
A grid sampler for larger-than-memory N-dimensional images
Notebooks for working with The Cancer Imaging Archive datasets. Have you written one? Submit a PR!
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
Visualizer for neural network, deep learning and machine learning models
A Benchmark for Failure Detection under Distribution Shifts in Image Classification
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
High-quality implementations of standard and SOTA methods on a variety of tasks.
NVIDIA Federated Learning Application Runtime Environment
napari: a fast, interactive, multi-dimensional image viewer for python
A clean and modern Jekyll theme based on Bulma
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
JAMA 2016; 316(22) Replication Study
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios wit…
Implementation of FixMatch in PyTorch and experimentations
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
Unofficial PyTorch Reimplementation of RandAugment.