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Official plugin resources and examples for extending Claude-based workflows.
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ClaudeClaw is a Claude Code plugin presented as a persistent agent orchestrator. It provides an always-on message loop, routing messages from Slack, WhatsApp and Telegram to Claude agents in isolated sandboxes, with structured memory, webhook triggers, per-group agent configuration and cost tracking. It is built on NanoClaw and uses a pluggable extension system.
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Repository of machine-checkable security models for Clawdbot, written primarily in TLA+ and checked with TLC. It functions as a security regression suite in which green models should pass and deliberately buggy red models should fail with a counterexample trace. Some checks are conformance-style, validating that the formal model matches Clawdbot's implementation constants.
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ClawHub is described as the public skill registry for OpenClaw, used to publish, version, and search text-based agent skills that consist of a SKILL.md plus supporting files. It also exposes a native OpenClaw package catalog for code plugins, bundle plugins, and experimental whole-agent Claw packages.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Open-source Python library for data-centric AI that helps clean data and labels by automatically detecting issues in machine learning datasets. It uses existing models to estimate dataset problems that can be fixed to train better models. It runs on Python 3.10+ and works with any model across classification, regression, segmentation and object detection tasks.
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Auto-Magical CI/CD to streamline your ML workflow.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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ClearTK is a framework for developing statistical natural language processing components in Java, built on top of Apache UIMA. It is developed by the Center for Computational Language and Education Research (CLEAR) at the University of Colorado at Boulder. The project is built with Maven, and the repository includes sub-projects such as cleartk-feature and modules for several machine learning libraries.
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climin is a Python package for optimization that is heavily biased toward machine learning scenarios, distributed under the BSD 3-clause license. It works on top of numpy and partially gnumpy, and was started in winter 2011 by Christian Osendorfer and Justin Bayer.
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Clip-as-a-service is an open-source tool that provides scalable embedding, reasoning, and ranking capabilities for images and text using the CLIP model. It is maintained as a public repository on GitHub under the jina-ai organization, with documentation and installation guides available.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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clj-ml is an open-source machine learning library for the Clojure programming language, built on top of the Weka framework and associated tools. It is hosted as a public repository on GitHub, with installation guides for Clojars and Maven, and supports a range of machine learning algorithms.
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ClojisR is a bridge between Clojure and R, described as "Clojure speaks statistics." It targets only JVM Clojure and supports a function-centric API for calling R functions on R objects from Clojure. It requires Linux, MacOS or WSL, JDK 1.8 or later, Clojure 1.9.0 or later, and the Rserve R package.
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Clojure-openNLP is an open-source Clojure library that provides an interface to the Apache OpenNLP natural language processing toolkit. Hosted as a public GitHub repository, it includes usage instructions for the Leiningen build tool and sample usage from a Clojure REPL.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Multidimensional cluster generation in Julia.
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Multidimensional cluster generation in R.
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Basic functions for clustering data: k-means, dp-means, etc.
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CML, or Continuous Machine Learning, is an open-source CLI tool for implementing CI/CD with a focus on MLOps. It is used to automate development workflows, including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. It can generate a visual report with results and metrics automatically on every pull request, using GitLab, GitHub, or Bitbucket.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
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CodeAlmanac is a GitHub repository maintained by AlmanacCode. It is a codebase wiki for AI coding agents, designed to capture information including decisions, flows, invariants, and gotchas that are not explicitly stated in code.
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Awesome-Code-LLM is a curated list of language modeling research for code and other software engineering activities, plus related datasets. The GitHub repository is marked TMLR and links to an arXiv paper.