Georgios Paraskevas's repositories
mvts_transformer
Multivariate Time Series Transformer, public version
OpenBBTerminal
Investment Research for Everyone, Anywhere.
aiowire
aiowire - A simple event loop using asyncio
awesome-c
Continuing the development of awesome-c list on GitHub
awesome-qt
A curated list of awesome tools, libraries, and resources for the Qt framework.
compiler-explorer
Run compilers interactively from your web browser and interact with the assembly
crontab-ui
Easy and safe way to manage your crontab file
Diviner-Nonstationary-time-series-forecasting
The formal Implement of our work@Nature portfolio journal Communications Engineering
ferrumfix
Financial Information eXchange protocol implemented in Rust
guibedos
PySide widgets and helpers
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
MCMC-SymReg
Symbolic Regression using MCMC sampling
minikeyvalue
A distributed key value store in under 1000 lines. Used in production at comma.ai
NextTrade
A system that performs algorithmic trading
Nuklear
A single-header ANSI C immediate mode cross-platform GUI library
Pagination
a paging widget based on Qt
private-conda-repo
Hosting conda packages in a private environment
PySR
High-Performance Symbolic Regression in Python and Julia
QT-PyQt-PySide-Custom-Widgets
Awesome custom widgets made for QT Desktop Applications. Simplify your UI development process. These widgets can be used in QT Designer then imported to PySide code.
quetz
The Open-Source Server for Conda Packages
rateslib
A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps
recommender_system
Movie recommender system webapp
ryvencore
Node editor Python backend
ryvencore-qt
Qt frontend for ryvencore - Python library for building visual node editors
sqlparse
A non-validating SQL parser module for Python
tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
trainset
A lightweight web application for brushing labels onto time series data; useful for building training sets.