Konstantinos Vantas's Projects
Code accompanying the book "Machine Learning for Hackers"
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Plug and play modules to boost the performances of your AI systems 🚀
Code samples for my book "Neural Networks and Deep Learning"
🧠 Minimal implementations of neural network architectures and layers in PyTorch with side-by-side notes
R interface to the National Observatory of Athens weather stations
Examples and guides for using the OpenAI API
Summaries of machine learning papers
Widely used and useful papers related to machine learning and deep learning
Repository of my thesis "Understanding Random Forests"
[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation
Use RMarkdown to generate PDF Conference Posters via HTML
Code repository for O'Reilly book
📚 A practical approach to machine learning.
PRML algorithms implemented in Python
A collection of learning resources for curious software engineers
Curated list of project-based tutorials
A set of best practices for JavaScript projects
All Algorithms implemented in Python
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
torch-optimizer -- collection of optimizers for Pytorch
R for data science: a book
Fast rolling functions through Rcpp
Error metrics for Regression Models
Using R in Hydrology - vEGU2021 Short Course
R interface to many NOAA data APIs
rOpenSci website
All Algorithms implemented in Rust
Resources for deep learning with satellite & aerial imagery