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research

Contains all the Jupyter Notebooks used in our research.

research_public

Quantitative research and educational materials

restcookbook

Jekyll cms site for restcookbook.com

rl-json-parser

Ragel/Lemon based json-parser

rsted

Online reStructuredText editor

rtags

A c++(and possibly others)-aware tagger based on clang.

rtl_433

Application using librtlsdr to decode the temperature from a wireless temperature sensor (433.92MHz)

ryven

Flow-based visual scripting for Python

s7

s7 Scheme

sam

Software Automatic Mouth - Tiny Speech Synthesizer

sat-solver

Simple SAT solver implemented from Knuth pre-fascicle 6a.

schema

BuildingSync® Schema

scheme-benchmarks

some Scheme benchmarking with my own code

scheme-llvm

sensors2020

server-configs-nginx

shruthi-1

Firmware and hardware description files for the Shruthi-1, an hybrid monosynth

snacc

Clone/fork of “Sample Neufeld ASN.1 to C Compiler”, as used by mhegenc

socialsentiment

Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net

softethervpn

Cross-platform multi-protocol VPN software. Pull requests are welcome. The stable version is available at https://github.com/SoftEtherVPN/SoftEtherVPN_Stable.

sparql-visualizer

Visualization of how room requirements can be modeled with BOT and OPM

sparrow

The Sparrow Application Layer and tools

st

IEC-61131-3 Structured text parser

st-mode

An emacs mode for Structured Text (IEC61131-3)

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stm-audio-bootloader

Audio (FSK / QPSK) bootloader for STM32F projects

stmlib

STM32F project template and utility routines used for Mutable Instruments products

stockpredictionai

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.

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

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