Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It...
PelicanHPC is an iso-hybrid (CD or USB) image that let's you setup a high performance computing cluster in a few minutes. A Pelican cluster allows you to do parallel computing using MPI. You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple computers together to make a cluster. The frontend node (either a real computer or a virtual machine) boots from the image.
Setting up a distributed Kubernetes cluster along with Istio service
Setting up a Kubernetes cluster and Istio service mesh with vagrantfile which consists of 1 master(also as node) and 3 nodes. You don't have to create complicated CA files or configurations. Because using virtual machines to setup a distributed Kubernetes cluster will bring a high load on your computer, I created the lightweight Cloud Native Sandbox using Docker to setup a standalone Kubernetes.
This software (written in C using Glib/Gtk+) allows you to setup a High-Availability fault tolerant cluster, for Linux, Solaris, and other UX systems. It includes heartbeat mechanism (network and/or disk), a monitoring process.
Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud
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