A fast xgboost feature selection algorithm
- machine-learning
- machine-learning-algorithms
- feature-selection
- xgboost-algorithm
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A fast xgboost feature selection algorithm
AthenaCLI is a CLI tool for AWS Athena service that can do auto-completion and syntax highlighting.
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience
Honeynet Project generic authenticated datafeed protocol
"Evolving AppCompat/AmCache data analysis beyond grep"
EVTXtract recovers and reconstructs fragments of EVTX log files from raw binary data, including unallocated space and memory images.
peartree: A library for converting transit data into a directed graph for sketch network analysis.
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Python parser and tools for MUSDB18 Music Separation Dataset
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Encode spatial data as topology in Python! 🌍 https://mattijn.github.io/topojson
Tools for working with GTFS public transit data in ArcGIS
Algeria's 69 wilayas, 538 dairas and 1,541 communes with Arabic/French search and historical administrative boundaries. Python and TypeScript libraries.
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
A fast, forgiving GTFS reader built on pandas DataFrames
Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.