Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

The data structure for unstructured data

An open-source vector database for embedding similarity search and AI applications.

Vald. A Highly Scalable Distributed Vector Search Engine

A distributed system for embedding-based vector retrieval

Header-only C++/python library for fast approximate nearest neighbors

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Model Serving Made Easy

TiDB is an open source distributed HTAP database compatible with the MySQL protocol

Computation using data flow graphs for scalable machine learning

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Kubebuilder - SDK for building Kubernetes APIs using CRDs

Open source Slack-alternative in Golang and React - Mattermost

Kubeflow's public website

Mattermost Operator for Kubernetes

NLP made easy

Webapp of Mattermost server: https://github.com/mattermost/mattermost-server

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

Redux for Mattermost

The best way to learn to learn deeply about bitcoin is to avoid GUIs (even bitcoin-qt), and instead learn it from the command line.

Build cross platform desktop apps with JavaScript, HTML, and CSS

beego is an open-source, high-performance web framework for the Go programming language.

Official Go implementation of the Ethereum protocol

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.