A powerful and easy to use Python framework for experiment tracking and incremental computing
-
Updated
May 22, 2024 - Python
A powerful and easy to use Python framework for experiment tracking and incremental computing
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
Incremental computations engine
This repository contains the entire code for the .NET Modeling Framework
Micro Implementation of Incremental Computation in Clojure
Incremental View Maintenance support for DuckDB
A small DSL in Kotlin for incremental computation, inspired by the incremental library for OCaml.
Composable and extensible incremental computation in Rust
An incremental type checker for a subset of C using DDlog.
an incremental algorithm to compute clustering coefficient of a graph
Fine-grained incremental-computation for Rust
Increments odd numbers
Study and implement exact real arithmetic
A TypeScript implementation of the key ideas behind salsa-rs.
Experimental Query Resolver System
Scalable and Approximate Pattern Matching for Billion-Scale Property Graphs
Add a description, image, and links to the incremental-computation topic page so that developers can more easily learn about it.
To associate your repository with the incremental-computation topic, visit your repo's landing page and select "manage topics."