Sag

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

Probabilistic time series modeling in Python

A library for training and deploying machine learning models on Amazon SageMaker

Where knowledge becomes a universe

AI Commits for IntelliJ based IDEs/Android Studio.

Explain & debug any blackbox machine learning model with a single line of code.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

A Spark library for Amazon SageMaker.

A workload for deploying LLM inference services on Kubernetes

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.

Local Emperor-style AI agent with Vue WebUI, multi-provider LLMs, streaming chat, tools, skills, memory, and token telemetry.

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts…

Amazon SageMaker AI collection of examples, code samples and recipes.

High-performance message queue for Node.js — Valkey/Redis Streams with Rust-native NAPI bindings

ACK service controller for Amazon SageMaker

Train and deploy ML models in the cloud

An intelligent agent that understands your code and crafts perfect Git artifacts

Agent Dashboard: Visualization and analytics for Sessions and Quota Usage. Track, analyze, and optimize token usage across providers with heatmaps, cost trackin…

Zero-ceremony, Tokio-native actors with strong typing and production-ready edge case handling, perfect for AI/LLM Applications.

A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.