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Machine Learning Visualized is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Machine Learning library for the web, Node.js and developers.
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Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Julia package for manifold learning and nonlinear dimensionality reduction.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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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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The memory layer for Personalized AI.
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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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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Flexible Deep Learning Framework in Julia.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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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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A Python module for metric learning.
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A distributed machine learning framework Apache Spark.
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JARVIS, a system to connect LLMs with ML community.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.
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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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Integrate LLM technology quickly and easily into your apps.