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Learning about Neural Networks
Literature references for “Designing Data-Intensive Applications”
A curated list to learn about distributed systems
A language and runtime for distributed, incremental data processing in the cloud
A secure embedded operating system for microcontrollers
Tool used to create the official Raspberry Pi OS images
Class materials for a distributed systems lecture series
A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.
Modern applications with built-in automation
Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems
The lightweight, fault-tolerant database built on SQLite. Designed to keep your data highly available with minimal effort.
Helps package and upload Python lambda functions to AWS
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
A High Dynamic Range (HDR) Histogram
Prelude is an enhanced Emacs 29.1+ distribution that should make your experience with Emacs both more pleasant and more powerful.
The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of …
Library and tools for advanced feature engineering
gRPC to JSON proxy generator following the gRPC HTTP spec