Showing 1581-1600 of 3,069 projects
A scalable image generation model based on the Llama language model, outperforming diffusion models.
MiMo is an open-source library that unlocks the reasoning potential of language models for AI-powered development tools.
A tutorial on using large language models (LLMs) and vision language models (VLMs) for various AI-powered coding tasks.
Stremio-core is a Rust library that provides the core types, addon system, UI models, and core logic for the Stremio media player platform.
A curated collection of must-read papers and blogs on large language model-based long-context modeling.
A spaCy pipeline and models for processing scientific/biomedical documents.
Build interior spaces in 3D with a TypeScript-based 3D modeling and visualization tool.
A curated list of resources and tools related to the ChatGPT AI language model for developers.
A Ruby library that simplifies working with hierarchical data in ActiveRecord models.
This GitHub repository contains character textures, models, and mods for an anime game.
Super easy library for building BERT-based NLP models with FastAI and Transformers.
A library for understanding and improving diffusion-based generative models, a key technique in AI-powered creative tools.
Run AI models like LLaMA locally on your machine with Node.js bindings for llama.cpp and enforce JSON schema on the output.
A project that provides a collection of pre-trained deep learning models for image classification tasks.
A timeline of the latest AI models for audio generation, starting in 2023.
An adapted version of the Kohya Trainer for easier cloning, focused on AI coding tools and fine-tuning language models.
An open-source, cloud-native platform for machine learning, deep learning, and large language model AI workflows.
A feature-rich wiki system built on Django for storing and organizing knowledge with a great user interface.
A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.
A tool that makes it easy to scrape and ingest content from various sources like GitHub, arXiv, and YouTube for use with large language models.
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