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Notebooks and code for the book "Introduction to Machine Learning with Python".
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A python library for doing approximate and phonetic matching of strings.
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Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
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Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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A library of statistical distribution sampling and transducing functions.
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Build, packaging, and run system for ephemeral multi-container environments.
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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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Simple, concise implementations of machine learning techniques and utilities in Clojure.
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Lightweight library to build and train neural networks in Theano.
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AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
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Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.
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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
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Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
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Machine Learning library for the web, Node.js and developers.
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A Julia package for manifold learning and nonlinear dimensionality reduction.
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A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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A platform for deploying and serving machine learning models.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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An open source robotics benchmark for meta- and multi-task reinforcement learning.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.