General technology for enabling AI capabilities w/ LLMs and MLLMs.
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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.
Mikan is a non-English web resource for regional media, books, tools, communities, or learning.
militera is a non-English web resource for regional media, books, tools, communities, or learning.
MineWiki is a non-English web resource for regional media, books, tools, communities, or learning.
Mini Dictionary helps learn languages with dictionaries, reading tools, lessons, pronunciation, or study resources.
Mini Tokyo 3D is a non-English web resource for regional media, books, tools, communities, or learning.
Minijuegos is a non-English web resource for regional media, books, tools, communities, or learning.
MioBT is a non-English web resource for regional media, books, tools, communities, or learning.
mirandopeliculas is a non-English web resource for regional media, books, tools, communities, or learning.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
MIRCrew is a non-English web resource for regional media, books, tools, communities, or learning.
MirKnig.sur is a non-English web resource for regional media, books, tools, communities, or learning.
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.
mkzhan is a non-English web resource for regional media, books, tools, communities, or learning.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
MLCBoard is a non-English web resource for regional media, books, tools, communities, or learning.
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.