Submit your work

qsmm

QSMM is a framework for learning finite automatons that perform goal-directed interaction with entities exhibiting deterministic or stochastic behavior. It implements the rudiments of a toolchain for working with probabilistic assembler programs, and development focus shifted to adaptive parsing and learning context-free grammars by template. It includes atd-parser and abu-parser tools.

Website Directory import
Sign in to Shout 0 Visit website
0 shouts Added Sep 23, 2026 qsmm.org
qsmm.org/
qsmm website preview

Features

  • framework for learning finite automatons Source: qsmm.org
AI & Machine Learning Models & Machine Learning

Links

Tags

machine learning AI models model evaluation ML research

Keep exploring

More in Models & Machine Learning

View category
Accord.NET
accord-framework.net

Accord.NET is a .NET machine learning framework combined with audio and image processing libraries written in C#. It covers classification, regression, clustering, distributions, hypothesis tests and kernel methods, with imaging and signal processing components. The framework is intended for building computer vision, audition, signal processing and statistics applications, including commercial use. It offers sample applications, documentation and a wiki.

AI & Machine Learning 0
Deploybase
deploybase.ai

A market intelligence site for AI compute that tracks live GPU cloud and LLM API pricing, performance benchmarks and market data across AI infrastructure providers. It publishes comparisons of GPU cloud pricing by provider and of LLM performance versus cost, including articles on Azure, AWS, Google Cloud, CoreWeave and Lambda GPU offerings.

AI & Machine Learning 0
APIDNA
apidna.ai

APIDNA provides machine-learning models, research, training resources, or evaluation tools.

AI & Machine Learning 0
Odysseus
odysseus-dev.github.io

Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.

AI & Machine Learning 0
Project page
composable-models.github.io

This is the official project page for the ICML 2024 research paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate' by MIT and Google Brain researchers. The paper introduces a multi-round debate approach where multiple language model instances propose answers, critique each other, and debate to improve reasoning and factual accuracy while reducing hallucinations.

AI & Machine Learning 0
Apache cTAKES
ctakes.apache.org

Apache cTAKES is an open-source project developed under the Apache Software Foundation. Its documentation and project resources are hosted on a GitHub repository, and it is part of the broader Apache developer and user community.

AI & Machine Learning 0