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Awesome List
A curated list of awesome Machine Learning frameworks, libraries and software.
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
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S2 geometry library in Go
In-memory tabular data in Julia
Hyper-parameter optimization for sklearn
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Machine learning with dataframes
The Python ensemble sampling toolkit for affine-invariant MCMC
Spearmint Bayesian optimization codebase
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A security scanner for your LLM agentic workflows
Package geom implements efficient geometry types for geospatial applications.
CPU and GPU-accelerated Machine Learning Library
The Classical Language Toolkit
Fast multilayer perceptron neural network library for iOS and Mac OS X
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
ML powered analytics engine for outlier detection and root cause analysis.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Machine Learning toolbox for Humans
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
No description.
Map-Reduce for Clojure
An image library for Julia
Python package for Bayesian Machine Learning with scikit-learn API
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Scalable Machine Learning in Scalding
Serverless proxy for Spark cluster
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Library for machine learning stacking generalization.
Build, test, deploy, iterate - Dev and prod tool for data science pipelines