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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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Julia-language backend combined with the Jupyter interactive environment.
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Rails-like inflection library for Clojure and ClojureScript.
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Framework to connect a flow of ML models by applying graph theory.
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A toolkit to help understand models and enable responsible machine learning.
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Notebooks and code for the book "Introduction to Machine Learning with Python".
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jd-gui is a GitHub repository or organization with source code, releases, documentation, or project resources.
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A python library for doing approximate and phonetic matching of strings.
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Chinese Words Segmentation Utilities.
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Chinese Words Segmentation Utilities.
Code for interactive simulacra of human behavior [[arxiv]](https://arxiv.org/abs/2304.03442).
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Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
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Jupyter notebook is a web-based notebook environment for interactive computing.
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Code for the Kaggle acquire valued shoppers challenge.
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Winning solution for the Galaxy Challenge on Kaggle.
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A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
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An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
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Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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A python package that integrates an LLM copilot inside the keras model development workflow.
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Easy-to-use, scalable hyperparameter optimization framework.
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A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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A library of statistical distribution sampling and transducing functions.