github.com
Small Language Model tailored for edge devices.
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Published directory entries matching your search.
github.com
The memory layer for Personalized AI.
smol.ai
News and Hackathons for AI Engineers!
github.com
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
merlin.foyer.work
ChatGPT Plus extension on all websites.
getmerlin.in
ChatGPT Plus extension on all websites.
metabrown.com
Creates, rewrites or summarizes written content with language models.
github.com
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
metorial.com
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
A Python module for metric learning.
github.com
Metric Learning Algorithms in Python.
kyamagu.github.io
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
github.com
JARVIS, a system to connect LLMs with ML community.
github.com
General technology for enabling AI capabilities w/ LLMs and MLLMs.
github.com
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
github.com
Integrate LLM technology quickly and easily into your apps.
github.com
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
github.com
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
discord.gg
Discord invite for joining a related community, support server, updates, or project discussion.
github.com
C, C++, and Python tools for named entity recognition and relation extraction.
github.com
A Julia package for fitting (statistical) mixed-effects models.
huggingface.co
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
github.com
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
github.com
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.