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The AI Scientist: Towards Fully Automated Open-Ended Scientific.
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Platform for Production Data Science.
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Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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Curated GitHub list of public datasets across science, government, finance, and research topics.
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BigScience Large Open-science Open-access Multilingual Language Model.
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Reproducible data setup for reproducible science.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Machine learning development environment for data science and AI/ML engineering teams.
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Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
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A lightweight set of tools for loading and sharing data in data science projects.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
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Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
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An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
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Open source MLOps project that eases model handoffs between data scientist and DevOps.
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Knowledge sharing platform for data scientists and other technical professions.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
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Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
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A graph sampling extension library for NetworkX with a Scikit-Learn like API.
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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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All-in-one web-based IDE specialized for machine learning and data science.
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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
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Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.