Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
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Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/doc/gSscJkc5Rb1Rw45gh1o1Yc
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A curated list of community detection research papers with implementations.
Interactive Go programming with Jupyter
An intuitive library to add plotting functionality to scikit-learn objects.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Feature engineering and selection open-source Python library compatible with sklearn.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Lightweight, general, scalable C++ library for finite element methods
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Enhancing {ggplot2} plots with statistical analysis 📊📣
a curated list of R tutorials for Data Science, NLP and Machine Learning
CLI task management & automation tool
The Universal Storage Engine
Python Stream Processing
🌍 The open source route planner api with plenty of features.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
💎 The Principles of OOD (SOLID) based on Uncle Bob articles.
A curated list of data mining papers about fraud detection.
Easily install and load packages from the tidyverse
Data processing & ETL framework for Ruby