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Library for hyperparameter optimization and black box optimization benchmarks.
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General Machine Learning library using Numenta’s Cortical Learning Algorithm.
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"building applications with LLMs through composability".
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A framework for elegantly configuring complex applications.
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A very simple wrapper for convenient hyperparameter optimization.
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General Automated Machine Learning Framework.
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Distributed Asynchronous Hyperparameter Optimization in Python.
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Toolset for black-box hyperparameter optimisation.
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An open-source visual programming environment for battle-testing prompts to LLMs.
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A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Julia-language backend combined with the Jupyter interactive environment.
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Ikemen Go is a GitHub repository or organization with source code, releases, documentation, or project resources.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
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Creates or edits images with generative models and visual controls.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Rails-like inflection library for Clojure and ClojureScript.
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AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
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Node.js module to help you understand how your tool is being used by anonymously reporting usage metrics to Google Analytics
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A modern and intuitive Chrome extension that brings your favorite OSINT tools, metadata analyzers, and Google Dorking assistants right into your browser.
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Framework to connect a flow of ML models by applying graph theory.