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Codes for the paper On marginal feature attributions of tree-based models
Cross-platform, high-throughput computing utility for processing shell commands over a distributed, asynchronous queue.
A comprehensive update to the PLINK association analysis toolset. Beta testing of the first new version (1.90), focused on speed and memory efficiency improvements, is finishing up. Development is …
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Productive, portable, and performant GPU programming in Python.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A benchmark for distribution shift in tabular data
scikit-learn compatible tools to work with GBM models
Explore large language models in 512MB of RAM
A game theoretic approach to explain the output of any machine learning model.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.
Awesome-LLM: a curated list of Large Language Model
Blog post explaining the algorithm behind interventional tree shap
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A python library for decision tree visualization and model interpretation.
🔥 A Complete List of GitHub Profile Badges and Achievements 🔥