Creates, rewrites or summarizes written content with language models.
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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.
Mga Nagmamarunong's Masterlist is a public Google document or spreadsheet containing organized links, notes, data, or resources.
microMathematics is a GitHub repository or organization with source code, releases, documentation, or project resources.
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.
Mini Dictionary helps learn languages with dictionaries, reading tools, lessons, pronunciation, or study resources.
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.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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.