Showing 1681-1700 of 2,554 projects
A collection of resources on using large language models for recommender systems
A Python library that bridges data and humans with autonomous workflow for AI-powered development.
Advanced framework for building AI coding agents that can understand context and provide smarter code assistance.
Multimodal-GPT is a powerful library for building AI-powered applications that leverage multimodal data like text, images, and more.
An easy-to-use federated learning platform for developers building AI/ML applications.
Hundreds of AI-powered Claude Code plugins with interactive Jupyter tutorials to enhance developer productivity.
A native macOS app that allows you to chat with your favorite LLaMA language models.
A curated collection of major GPT language models and related tools for developers to discover and use.
A PyTorch implementation of Federated Learning, a distributed machine learning technique.
A Python library for building AI-powered applications using LangChain, a framework for building applications with large language models.
An open-source framework for AI-powered process automation with support for large language, action, and multimodal models.
This is a developer discovery platform focused on 'vibe coders' who build with AI tools.
Implementation of an alternative to backpropagation for training neural networks using PyTorch.
Code repository for examples in the book 'Generative Deep Learning' focused on AI and ML topics.
DeepSeek-V3.2-Exp is a Python-based framework for building AI-powered developer tools and apps.
A symbolic programming library for high-performance, parallel, and symbolic computing in Julia.
Unsupervised neural & phrase-based machine translation without parallel data
Superlinked is a Python framework for building high-performance search & recommendation apps with structured and unstructured data.
A fork to add multimodal model training capabilities to the open-r1 project, a framework for building AI tools.
A collection of papers studying machine learning through the lens of category theory for developers.
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