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Train ML Models With SQL You Already Know
BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
A high-speed network driver written in C, Rust, C++, Go, C#, Java
ixy-languages is a repository exploring the implementation of the ixy network driver (originally written in C) in multiple programming languages, showing how the same core logic can be expressed across language boundaries. The ixy driver is a minimal DPDK-based user-space NIC driver intended for education, demonstration, and controlled experimentation. This project reimplements the ixy driver architecture in Rust, Go, C++, Zig, and possibly other languages, maintaining the same driver semantics and API so users can compare performance, expressivity, safety, and expressiveness trade-offs. ...
500 Questions on Deep Learning using a question-and-answer format
...The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, networkarchitecture design, hyperparameter tuning, model compression, and acceleration techniques.
Kubernetes The Hard Way is a hands-on guide to building a Kubernetes cluster from the ground up without using automation tools—no managed services, no scripts to hide the details. It walks you through every component: provisioning compute resources, generating TLS certificates, configuring etcd, bootstrapping the control plane, joining worker nodes, setting networking, and verifying everything works. The purpose is educational: by doing each step manually, you gain deep insight into how...
Multi-platform Variable Star Visualisation and Analysis
VStar is a multi-platform, easy-to-use variable star observation visualisation and analysis tool. Data can be read from a file or the AAVSO database, light curves and phase plots created, period analysis performed, and filters applied. Plugins can be developed, e.g. to make additional observation sources available.
See also:
1. http://www.aavso.org/vstar-overview
2. http://www.aavso.org/forums/about-aavso/vstar
3. http://dbenn.wordpress.com/category/astronomy-science/vstar
4....
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The scope of the project is to establish a new architecture personal home pages are managed in the internet, thus the way the users would navigate them.
The idea come from the new technology trends from internet.
The key idea are compact, concrete, easy manage and loosely coupled structure (peer to peer).
I will sketch out the technical detail in the wiki. And began to prototype it in my personal webpage.
SITools2 is a new CNES generic tool performed by a joint effort between CNES and scientific laboratories. The aim of SITools is to provide a self-manageable data access layer deployed on already existing scientific laboratory databases.
ILIAS is a web base learning management system (LMS, VLE). Features: Courses, SCORM 1.2 and 2004, mail, forum, chat, groups, podcast, file sharing, authoring, CMS, test, wiki, personal desktop, LOM, LDAP, role based access, see http://www.ilias.de/
Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
The Digital Archive for Architecture (DAArch) is a project at The Art Institute of Chicago. The system is structured around the use of Categories for the Description of Works of Art (CDWA) metadata schema, and its underlying digital repository DSpace.
Wireless Land (WL) implements a wifi layer for the User Mode Linux architecture. It comes with a Wireless Land server which provides the virtual wireless cards and a GUI for the network visualisation.