A Julia framework for probabilistic graphical models.
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Python library for working with Probabilistic Graphical Models.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
A JavaScript application framework for machine learning and its engineering.
Creates or edits images with generative models and visual controls.
A better version of Jieba, developed by Peking University.
Production-Ready LLM Agent SDK for Every Developer.
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
Multilingual text (NLP) processing toolkit.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
A library for machine learning that builds predictions using a linear regression.
A library for machine learning that builds predictions using a linear regression.
Ask questions to your documents without an internet connection, using the power of LLMs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Prompt Engineering Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
Promptfoo is a GitHub repository or organization with source code, releases, documentation, or project resources.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Another Python Machine Learning Library.
Algorithmic Trading with Machine Learning.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.