🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
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🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Seamless operability between C++11 and Python
Datasets, Transforms and Models specific to Computer Vision
Resume builder for academics and engineers
Stable Diffusion with Core ML on Apple Silicon
Examples and guides for using the Gemini API
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
TranslatedDeep Learning Tutorial, excellent articles
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
Python composable command line interface toolkit
WebUI extension for ControlNet
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Apprise - Push Notifications that work with just about every platform!
Janus-Series: Unified Multimodal Understanding and Generation Models
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
🧠 Leon is your open-source personal assistant.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
A collection of various deep learning architectures, models, and tips
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Build realtime web, mobile and desktop apps in Python only. No frontend experience required.
Data and code behind the articles and graphics at FiveThirtyEight