Archive containing the state archives' multimedia and public broadcasting collections.
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LoveLifeDrawing is an educational resource for documentaries, courses, books, reference material, or self-learning.
Low Tech Magazine is an educational resource for documentaries, courses, books, reference material, or self-learning.
Lowdefy is a developer resource for coding, documentation, communities, security research, or software tools.
Repository and service provider of digital items and collections.
Online catalogue to search across LSE and Women's Library archives and special collections.
Online catalogue to search across the Library’s collections, including books, articles, and databases.
Search biology data collections and supporting software from GBR.
Search biology data collections and supporting aggregated data from ITA.
Lucas Chess is an educational resource for documentaries, courses, books, reference material, or self-learning.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
Lucia is a developer resource for coding, documentation, communities, security research, or software tools.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Luna Multiplayer is an educational resource for documentaries, courses, books, reference material, or self-learning.
LunarVim is a developer resource for coding, documentation, communities, security research, or software tools.
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
Lunaserv Global Explorer is an educational resource for documentaries, courses, books, reference material, or self-learning.
Lunchbox Sessions is an educational resource for documentaries, courses, books, reference material, or self-learning.
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
Dataset repository covering natural, with searchable dataset.
Dataset repository covering history, with searchable image.
Open Access publication service of Kiel University.
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
Class on machine w/ PDF, lectures, code.