The Feldera Incremental Computation Engine
A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is writ…
Incremental Program Analysis Framework
DAG runtime for coding-agent workflows with verification, resume, replay, and effect checks.
Multi-core Window-Based Stream Processing Engine
Incremental computations engine
This repository contains the entire code for the .NET Modeling Framework
Incremental View Maintenance on DuckDB
The live rules engine for AI agents. InputLayer applies your rules as facts change, updating what your agent should say or do in milliseconds, even while other work continues.
Incremental View Maintenance support for DuckDB
Incremental computation engine for Rust and Python: tracks dependencies between computations and only reruns what changed. Combines function DAGs with delta-based collections in a single runtime.
Micro Implementation of Incremental Computation in Clojure
Content-addressed caching and run history for Python batch pipelines — built for steps you can't afford to re-run
Fine-grained incremental-computation for Rust
Incremental Compuation in MoonBit.
An embeddable incremental-computation engine for authors of Python developer tools.
Runtime-independent asynchronous incremental computation with immutable MVCC snapshots
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