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Lightweight and extensible compatibility layer between dataframe libraries!
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A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Distributed Deep learning with Keras & Spark
A minimalistic wiki powered by python, markdown and git.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Javascript formatting for Sublime Text 2 & 3
Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed. Now in Python!
Jupyter magics and kernels for working with remote Spark clusters
A simple GOG client for Linux
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
11 Claude skills that copy the investors you trust, watch the news and Congress, size every trade to your budget, and never place an order without your yes.
Portfolio optimization with deep learning.
Computational framework for reinforcement learning in traffic control
PySpark + Scikit-learn = Sparkit-learn
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Python Performance Benchmark Suite
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
CommonMark compliant Markdown formatter
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
PySpark test helper methods with beautiful error messages
Source for Google Click to Deploy solutions listed on Google Cloud Marketplace.
Wagtail + CodeRed Extensions enabling rapid development of marketing-focused websites.