Healthcare_ml
A curated list of ML|NLP resources for healthcare.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Multimodal Ml | 5,399 | 3 months ago | 8 | mit | ||||||
| Reading list for research topics in multimodal machine learning | ||||||||||
| Monai | 5,010 |  | 48 | 5 months ago | 77 | October 12, 2023 | 268 | apache-2.0 | Python | |
| AI Toolkit for Healthcare Imaging | ||||||||||
| Torchgan | 1,218 | 1 | 3 years ago | 7 | October 18, 2021 | 20 | mit | Python | ||
| Research Framework for easy and efficient training of GANs based on Pytorch | ||||||||||
| Pyhealth | 825 | 5 months ago | 15 | January 24, 2023 | 15 | other | Python | |||
| A Deep Learning Python Toolkit for Healthcare Applications. | ||||||||||
| Pypots | 558 | 5 months ago | 20 | November 30, 2023 | 14 | bsd-3-clause | Python | |||
| A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811 | ||||||||||
| Docproduct | 511 | 3 years ago | 1 | June 06, 2019 | 22 | mit | Jupyter Notebook | |||
| Medical Q&A with Deep Language Models | ||||||||||
| Innereye Deeplearning | 509 | a year ago | 89 | mit | Python | |||||
| Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning | ||||||||||
| Healthcare_ml | 426 | a year ago | 2 | |||||||
| A curated list of ML|NLP resources for healthcare. | ||||||||||
| Multibench | 356 | 8 months ago | 10 | mit | HTML | |||||
| [NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning | ||||||||||
| Mlforhealthlabpub | 321 | a year ago | 8 | March 01, 2023 | 5 | other | Python | |||
| Machine Learning and Artificial Intelligence for Medicine. | ||||||||||
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