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Welcome to the home of the Hot Chocolate GraphQL server for .NET, the Strawberry Shake GraphQL client for .NET and Nitro the awesome Monaco based GraphQL IDE.

ClosedXML is a .NET library for reading, manipulating and writing Excel 2007+ (.xlsx, .xlsm) files. It aims to provide an intuitive and user-friendly interface to dealing with the underlying OpenXML API.

Advanced usage of UIAlertController and pickers based on it: Telegram, Contacts, Location, PhotoLibrary, Country, Phone Code, Currency, Date...

  • uialertcontroller
  • picker
  • image-picker
  • pickerview

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

mlpack: a fast, header-only C++ machine learning library

  • machine-learning-library
  • c-plus-plus
  • deep-learning
  • nearest-neighbor-search

XLForm is the most flexible and powerful iOS library to create dynamic table-view forms. Fully compatible with Swift & Obj-C.

  • xlform
  • forms
  • swift
  • objective-c

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

  • privacy-protection
  • privacy-enhancing-technologies
  • face-recognition
  • adversarial-machine-learning

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

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.