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Apache Superset is a Data Visualization and Data Exploration Platform
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Cloud-Native distributed storage built on and for Kubernetes
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Application designed to optimize, customize and enhance your Windows experience.
🔥 Seata is an easy-to-use, high-performance, open source distributed transaction solution.
Autonomous CLI agent integrations for the Spring AI ecosystem with Claude Code, Gemini CLI, and secure sandbox execution
A high-throughput and memory-efficient inference and serving engine for LLMs
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
MCP Server for Computer Use in Windows
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Fast and memory-efficient exact attention
High-performance In-browser LLM Inference Engine
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…