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A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, since it's a twist on the key-value datastore.
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Generate and auto-execute Python scripts in the cli
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Merlion: A Machine Learning Framework for Time Series Intelligence
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Podman: A tool for managing OCI containers and pods.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A game theoretic approach to explain the output of any machine learning model.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, …
The fundamental package for scientific computing with Python.
Grafana SELinux policy module for CentOS 7 & RHEL 7
Automatic extraction of relevant features from time series:
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
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A toolkit for developing and comparing reinforcement learning algorithms.
AI-on-OpenShift website source code
A python library for decision tree visualization and model interpretation.
Universal model exchange and serialization format for decision tree forests
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
Digital SuperTwin: a digital twin of a supercomputer
A python library for user-friendly forecasting and anomaly detection on time series.