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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.
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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
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A Julia package for fitting (statistical) mixed-effects models.
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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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Friendly machine learning for the web!
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A set of functions to support the development of machine learning algorithms.
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A Julia machine learning framework.
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A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
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No need to keep checking your training, just one import line and you'll know the second it's done.
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MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
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A modular active learning framework for Python, built on top of scikit-learn.
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Visual testing tool for MCP servers.
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Open source ML model versioning, metadata, and experiment management.
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ModelFox is a platform for managing and deploying machine learning models.
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Global, black box optimization engine for real world metric optimization by Yelp.
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List of molecular design using Generative AI and Deep Learning.
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Montague is a semantic parsing library for Scala with an easy-to-use DSL.
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CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.