ovgeorge's repositories
simrank-ide
Linear complexity SimRank computation
Argon-Dokuwiki-Template
Dokuwiki Template based on the Argon Design System
aizynthfinder
A tool for retrosynthetic planning
bip39chk
Derive checksum correct last word for custom BIP39 mnemonic
eth-monitor
Monitor and process EVM transactions with match filters
fast-symbolic-regression
Blazing fast symbolic regresison
Fiverr_clone
J'ai cloné le plateforme fiverr de bout en bout avec presque toutes les fontions. Love Python/Django
Keras-inference-time-optimizer
Optimize layers structure of Keras model to reduce computation time
l-system
Implementation of Lindenmayer L-system
LIGGGHTS-INL
LIGGGHTS-INL is a capability-extended version of LIGGGHTS. LIGGGHTS is an Open Source Discrete Element Method Particle Simulation Software (https://www.cfdem.com/media/DEM/docu/Manual.html). LIGGGHTS stands for LAMMPS improved for general granular and granular heat transfer simulations. LAMMPS is a classical molecular dynamics simulator. It is widely used in the field of Molecular Dynamics (https://lammps.sandia.gov/doc/Manual.html). Thanks to physical and algorithmic analogies, LAMMPS is a very good platform for DEM simulations. LAMMPS offers a GRANULAR package to perform these kinds of simulations. LIGGGHTS aims to improve those capability with the goal to apply it to industrial applications.
Lindenmayer.jl
draw Lindenmayer (L-Systems) recursive graphics
linedraw
Convert images to vectorized line drawings for plotters.
linux-on-huawei-matebook-13-2019
MateBook 13 running Linux
NNTile
A neural network training framework within a task-based parallel programming paradigm
progressive_growing_of_gans
This is a PyTorch implementation of the paper Progressive Growing Of GANS For Improved Quality, Stability, And Variation by Karras et al. Please Read README.md for generated samples and detailed info.
python-bchlib
BCH library C Python module
reignition
Repository for the book "Reignition: Nick Land's Writings (2011-)"
Russian-Sentiment-Analysis-Evaluation-Datasets
Data archive of Russian sentiment analysis evaluation datasets
sentiment-analysis-in-russian
Fine-tuned Multilingual BERT and Multilingual USE for sentiment analysis in Russian. RuReviews, RuSentiment, Kaggle Russian News Dataset, LINIS Crowd, and RuTweetCorp were utilized as training data.
ThunderbirdTodoist
Thunderbird Add-On for Todoist
twitter-likes
download your twitter likes
vim-zettel
VimWiki addon for managing notes according to Zettelkasten method