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Creates, rewrites or summarizes written content with language models.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A Python module for metric learning.
Metric Learning Algorithms in Python.
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
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.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
C, C++, and Python tools for named entity recognition and relation extraction.
A Julia package for fitting (statistical) mixed-effects models.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
No need to keep checking your training, just one import line and you'll know the second it's done.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Mlu is developed amazon to help people in ml space you can learn everything from basics here with live diagrams.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A modular active learning framework for Python, built on top of scikit-learn.
Visual testing tool for MCP servers.