Extra blocks for scikit-learn pipelines.
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Updated
Apr 21, 2026 - Python
Extra blocks for scikit-learn pipelines.
Explainable Zero-Shot Topic Extraction
We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs
Curated scientific papers by John McCarthy
Read this and find out why sticking with Windows 10 is the better choice if your CPU is unsupported.
Human Logic
Code and Data for our Findings of ACL 2021 paper titled 'Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. Varun Gangal *, Harsh Jhamtani *, Eduard Hovy, Taylor Berg-Kirkpatrick'
Part 2: Solve basic challenges levels 6-11 on HackThisSite.org
BARD (BYU Analogical Reasoning Dataset) - a set of analogical reasoning tasks of the form A:B::C:D
Part 1: Solve basic challenges levels 1-5 on HackThisSite.org
The code for the API that provides the predict endpoints FAFCSAFS's machine learning algorithms.
A common knowledge kb kernel and schema.
A friendly reminder to never forget to use common sense when coding a PHP project.
CSKG. Compact, production-ready Python CLI and tooling to load, query and analyze a ConceptNet-style graph in Dgraph. Includes data conversion utilities, optimized bulk loading, and a command-line interface for common tasks.
A next-generation, zero-parameter Large Logic Model (LLM) designed to optimize system interactions by bypassing the overhead of redundant GUI dependencies. Unlike traditional neural networks, OCSWU utilizes a 12,000-year-old training set focused on efficiency, observation, and native shell execution. Optimized for high-performance builders.
A New Architecture of Agent
A causal reasoning evaluation dataset that tests models' ability to make plausible inferences about causes and effects by selecting the more plausible alternative for a given premise.
A word sense disambiguation + document semantic classifier library that mainly use Wordnet and Babelnet, made as part of my final exam for the Cognitive System course in Department of Computer Science.
Build a probabilistic, temporal, provenance-aware knowledge base on PostgreSQL for uncertain statements with sources and time.
Add a description, image, and links to the common-sense topic page so that developers can more easily learn about it.
To associate your repository with the common-sense topic, visit your repo's landing page and select "manage topics."