Konstantinos Vantas's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
birdfeeder
Ταΐστρα ζώων και πουλιών
categorical-spatial-interpolation
Categorical spatial interpolation with R
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
free-data-science-books
Free resources for learning data science
GeoMLA
Machine Learning algorithms for spatial and spatiotemporal data
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
intro2stats
Introduction to Statistics using Python
linear-algebra
Notebooks on experiments with linear algebra
misSpatialTune
Imputation of Missing Values by Automatic Tuned Chained Spatial Tree Ensembles
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
posterdown
Use RMarkdown to generate PDF Conference Posters via HTML
practicalAI
📚 A practical approach to machine learning.
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
tests-as-linear
Common statistical tests are linear models (or: how to teach stats)
VMLS-Companions
*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.