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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
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An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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C, C++, and Python tools for named entity recognition and relation extraction.
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All-in-one web-based IDE specialized for machine learning and data science.
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Machine learning and numerical analysis tools for Node.js and the Browser!
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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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Version and deploy your ML models following GitOps principles.
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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 library consisting of useful tools for data science and machine learning tasks.
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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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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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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.
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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.