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
Multi-core Window-Based Stream Processing Engine
Compile, verify, and run multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok—with resume, replay, and incremental recomputation.
Incremental computations engine
This repository contains the entire code for the .NET Modeling Framework
Incremental View Maintenance on DuckDB
Streaming reasoning layer for AI. Incremental rules engine with vector search, graph traversal, and explainable derivation traces.
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.
Recause is an experimental programming model and runtime for writing interactive software as ordinary code. Flows stop when information is missing, represent progress in explicit serializable state, and run again when new state arrives—without callbacks, explicit resume logic, or hand-authored state machines.
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