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MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Resources about time series forecasting and deep learning.
Hydra is a framework for elegantly configuring complex applications
Flexible Python configuration system. The last one you will ever need.
Website for the Classifier calibration tutorial, ECML-PKDD 2020
Optimizes static websites for best user experience and best Core Web Vitals scores.
🔏 Opinionated, typographic-centric ggplot2 themes and theme components
A simple way to calibrate your neural network.
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
Style your webpage like Edward Tufte’s handouts.
Nearly Classless CSS file to give html a latex-like look
A powerful set of Python debugging tools, based on PySnooper
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
Neural Networks: Zero to Hero
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
A toolkit for machine learning from time series
A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools…
LaTeX package and annotated examples for annotating equations using TikZ.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)