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Making large AI models cheaper, faster and more accessible.
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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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A dataset format for creating, storing, and collaborating on AI datasets of any size.
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Python materials for the online course on diffusion models by @huggingface.
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Research paper summariser application for our hackathon.
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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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Platform for deploying your Machine Learning to production.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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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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Supports software work with AI-assisted coding, testing or application development.
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Distributed Asynchronous Hyperparameter Optimization in Python.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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Toolset for black-box hyperparameter optimisation.
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Analyzes structured data and helps produce queries, insights or visualizations.
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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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Open-source agent skill and npm CLI for daily-updated arXiv, PubMed/PMC, and US policy retrieval with deterministic freshness cutoffs. Apache-2.0.
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Julia-language backend combined with the Jupyter interactive environment.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].