Rodri's repositories
deep-learning-models
Keras code and weights files for popular deep learning models.
MIT000
the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
MIT000
MLfromscratch
Machine Learning algorithm implementations from scratch.
MIT000
raspberrypiwireguard
Install and configure WireGuard on Raspberry Pi (and others)
000
m5-python-starter
Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
Apache-2.0000
Generate-blurry-images-Python-code.
Python code
The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
000
CVX101-HW-with-python
Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)
000
vatlab.github.io
Webpage for all vatlab applications
GPL-3.0000