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Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.

Machine Learning Framework from Industrial Practice.

Resource scheduling and cluster management for AI.

Parris, the automated infrastructure setup tool for machine learning algorithms.

This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.

A complete object-oriented environment for machine learning in Matlab.

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.

Use AutoML to do model compression.

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 high-speed inference engine for deploying LLMs locally.

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 tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.

A general-purpose network embedding framework: pair-wise representations optimization Network Edit.

Another Python Machine Learning Library.

Algorithmic Trading with Machine Learning.