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Flexible Deep Learning Framework in Julia.
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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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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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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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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 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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Global, black box optimization engine for real world metric optimization by Yelp.
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Montague is a semantic parsing library for Scala with an easy-to-use DSL.
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Llama3 implementation one matrix multiplication at a time.
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A Natural Adversarial Language Processing framework built over Tensorflow.
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General natural language facilities for node.
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A PyTorch implementation of DeepDream.
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A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
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Machine learning for NeuroImaging in Python.
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Natural Language processing in the browser.
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A Julia package for non-negative matrix factorization.
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Nn builder is a python package that lets you build neural networks in 1 line.
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This package provides graphical computation for nn library in Torch7.