Do's and Don'ts for Android development, by Futurice developers
- best-practices
- android-development
- android
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Good ideas for iOS development, by Futurice developers.
- best-practices
- swift
- objective-c
- ios
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.
Learning eBPF, published by O'Reilly - out now! Here's where you'll find a VM config for the examples, and more
- ebpf
- ebpf-co-re
- linux-kernel
The beginner's guide to eBPF
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
A Go library for an efficient implementation of a skip list: https://godoc.org/github.com/MauriceGit/skiplist
- skiplist
- golang
- golang-library
- go
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
🔮 MacOS menu bar app to see prices of ASA pairs from Tinyman.org 👀
- algorand
- python
- tinyman
- macos-menubar