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Amazon
- Dongcheng, Beijing.
Stars
这是一款基于 Playwright 开发的小红书自动搜索和评论工具,作为 MCP Server,可通过特定配置接入 MCP Client(如Claude for Desktop),帮助用户自动完成登录小红书、搜索关键词、获取笔记内容及发布AI生成评论等操作。
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
Smithy code generators and core modules for Python (in development)
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
Virtual whiteboard for sketching hand-drawn like diagrams
This solution provides a way to deploy SageMaker Studio in a private and secure environment. The solution integrates with a Custom SAML 2.0 Application as the mechanism to trigger the authenticatio…
Collection of leaked system prompts
A code repository for deploying distilled versions of DeepSeek-R1 on Bedrock as Custom Models (or any other Open Source Model)
Run FMBench simultaneously across multiple Amazon EC2 machines to benchmark an FM across multiple serving stacks simultaneously
Pytorch domain library for recommendation systems
Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas
Source Code for "Exploring and Unleashing the Power of Large Language Models in Automated Code Translation"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Ultimate camera streaming application with support RTSP, RTMP, HTTP-FLV, WebRTC, MSE, HLS, MP4, MJPEG, HomeKit, FFmpeg, etc.
Demo applications showcasing DJL
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the fine tuned llama on Sagemaker with server side batch.
A modern, native macOS client for Amazon Bedrock, providing streamlined access to AI models directly from your desktop.
This is a workshop designed for Amazon Bedrock a foundational model service.
Easy Docker setup for Stable Diffusion with user-friendly UI
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥