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Modern concurrency tools including agents, futures, promises, thread pools, supervisors, and more. Inspired by Erlang, Clojure, Scala, Go, Java, JavaScript, and classic concurrency patterns.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

noUiSlider is a lightweight, ARIA-accessible JavaScript range slider with multi-touch and keyboard support. It is fully GPU animated: no reflows, so it is fast; even on older devices. It also fits wonderfully in responsive designs and has no dependencies.

Generic command line non-JVM Apache Kafka producer and consumer

Task manager with Todoist, Nextcloud & CalDAV support designed for GNOME

  • vala
  • todoapp
  • todoist
  • todoist-api

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

Antialiased 2D vector drawing library on top of OpenGL for UI and visualizations.

Automatic HTTPS for any Go program: fully-managed TLS certificate issuance and renewal

  • https
  • acme
  • letsencrypt
  • golang

Plupload is JavaScript API for building file uploaders. It supports multiple file selection, file filtering, chunked upload, client side image downsizing and when necessary can fallback to alternative runtimes, like Flash and Silverlight.

  • plupload
  • file-upload
  • file-utility

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

The Penetration Testers Framework (PTF) is a way for modular support for up-to-date tools.