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.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
Integrate LLM technology quickly and easily into your apps.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Midiano is an educational resource for documentaries, courses, books, reference material, or self-learning.
List of several machine learning libraries.
Million is a developer resource for coding, documentation, communities, security research, or software tools.
Longitudinal study measuring unique Tor onion services while accounting for mirrors and topology bias.
MIMO is an educational resource for documentaries, courses, books, reference material, or self-learning.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Minify JS is a developer resource for coding, documentation, communities, security research, or software tools.
MinuteLabs is an educational resource for documentaries, courses, books, reference material, or self-learning.
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.
Mission US is an educational resource for documentaries, courses, books, reference material, or self-learning.
Deep learning foundations and applications.
C, C++, and Python tools for named entity recognition and relation extraction.
MIT Rocket Team is an educational resource for documentaries, courses, books, reference material, or self-learning.
mitmproxy is a developer resource for coding, documentation, communities, security research, or software tools.
Mitosis is a developer resource for coding, documentation, communities, security research, or software tools.
A Julia package for fitting (statistical) mixed-effects models.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.