An Open Source Machine Learning Framework for Everyone

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

Mastering Machine Learning Basics: Essential Interview Questions 🤖

Lightweight CLI tool for the normalization of data.

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

Managing the lifecycle of machine learning to support scalability, impact, collaboration, compliance and sharing.

Open source platform for the machine learning lifecycle

Proof of concept of a fully automated Industrial IoT network using COAP and Machine Learning

Work tasks

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

A common interface for registering, validating and auditing machine learning artifacts

🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.

AI-on-OpenShift website source code

VisionGuard functions as a standalone desktop application using a webcam to detect the user's gaze and estimate screen time. Leverages the Neural Processing Unit (NPU) of an AI PC for local inference.

Repository for R and SQL tips and tricks for @steveondata every Friday

Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)

Open standard for machine learning interoperability

A flexible, high-performance serving system for machine learning models

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud