cuDF - GPU DataFrame Library
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cuDF - GPU DataFrame Library
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A collection of computer vision pre-trained models.
GRASS - free and open-source geospatial processing engine
Materials for GWU DNSC 6279 and DNSC 6290.
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.