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A complete object-oriented environment for machine learning in Matlab.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
github.com
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
github.com
A JavaScript application framework for machine learning and its engineering.
github.com
Creates or edits images with generative models and visual controls.
github.com
A better version of Jieba, developed by Peking University.
github.com
Production-Ready LLM Agent SDK for Every Developer.
github.com
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
github.com
Use AutoML to do model compression.
github.com
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
github.com
Multilingual text (NLP) processing toolkit.
github.com
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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A high-speed inference engine for deploying LLMs locally.
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A library for machine learning that builds predictions using a linear regression.
github.com
A library for machine learning that builds predictions using a linear regression.
github.com
Ask questions to your documents without an internet connection, using the power of LLMs.
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Prompt Engineering Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
github.com
Promptfoo is a GitHub repository or organization with source code, releases, documentation, or project resources.
github.com
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
github.com
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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Another Python Machine Learning Library.
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Algorithmic Trading with Machine Learning.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
github.com
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.