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Build, packaging, and run system for ephemeral multi-container environments.
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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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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
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A lightweight framework for building LLM-based agents.
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Simple, concise implementations of machine learning techniques and utilities in Clojure.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Modern columnar data format for ML implemented in Rust.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Julia package for working with various human languages.
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Lightweight library to build and train neural networks in Theano.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Energy-based machine learning models built upon PyTorch.
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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 generic approach that allows to mimic most factorization models by feature engineering.
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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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Lifelines is a complete survival analysis library, written in pure Python.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Lightly is a computer vision framework for self-supervised learning.
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Pretrain computer vision models on unlabeled data for industrial applications.
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Explaining the predictions of any machine learning classifier.
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A comprehensive toolkit to build Machine Learning applications with Rust.