A distributed machine learning framework Apache Spark.
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JARVIS, a system to connect LLMs with ML community.
General technology for enabling AI capabilities w/ LLMs and MLLMs.
Integrate LLM technology quickly and easily into your apps.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Documentation for Miku, covering setup, features, and practical usage.
List of several machine learning libraries.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Building AGI with our mission Intelligence with Everyone. Global leader in multi-modal models and AI-native products with over 200 million users.
Overview of MiniMax AI models and their capabilities.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Mistral provides conversational AI for questions, tasks, and general assistance.
Deep learning foundations and applications.
C, C++, and Python tools for named entity recognition and relation extraction.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
All-in-one web-based IDE specialized for machine learning and data science.
Machine learning and numerical analysis tools for Node.js and the Browser!
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Friendly machine learning for the web!
A set of functions to support the development of machine learning algorithms.
Version and deploy your ML models following GitOps principles.
A Julia machine learning framework.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.