Showing 41-60 of 82 projects
Curated resources for the MCP ecosystem, including servers, clients, and tools for building with Claude AI.
A Python-based library for solving visual understanding tasks using reinforced visual-linguistic models (VLMs).
A curated collection of AI-related utilities and tools for developers working with AI and language models.
A C/C++ implementation of Stable Diffusion and other diffusion models for image generation and processing.
A low-code MCP framework for building complex and innovative RAG pipelines with AI tools.
A JavaScript library that simulates popular AI client requests and connects to the OpenAI API, making AI development more efficient.
EasyR1 is an efficient and scalable multi-modality reinforcement learning training framework based on veRL.
Optimize AI inference performance on GPUs with this Python library for selecting and tuning inference engines.
An open-source guide for building a 'Tiny-Universe' of large language models and AI tools.
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
An end-to-end multimodal AI model that can understand and generate text, audio, vision, and video in real-time.
A course on building a tiny vLLM (virtual Large Language Model) and Qwen inference serving on Apple Silicon for systems engineers.
Native macOS menu bar app for unified AI API account management with real-time quota tracking
Open-source toolkit for evaluating large multi-modal AI models, supporting 220+ models and 80+ benchmarks.
Claudable is an open-source web builder that uses AI agents to simplify building and deploying products.
DeepAnalyze is an agentic LLM for autonomous data science, automating data analysis and report generation.
A native macOS app that allows users to chat with a local LLM without installing other software.
An autonomous bash script that integrates various AI coding tools like Claude Code, Codex, and OpenCode to help complete your product requirements.
Unified backend API for open-source large language models like LLaMA, Bloom, ChatGLM, and more.
A LangChain-based framework for end-to-end natural language to data insight conversion, with MCP Skills multi-agent architecture.
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