Alejandro's Projects
Minor time series forecasting experiments using attention mechanisms.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
🤓 Build your own (insert technology here)
A complete computer science study plan to become a software engineer.
This repository provides the code for the subject Data Learning, which forms part of the course Big Data and Social Media taught in HU Utrecht, translated into Python.
This repository provides implementations of popular algorithms and abstract data types using JAVA.
Compilation of resources and insights that helped me on my journey to data scientist
A Python module to perform exploratory factor analysis.
Freya is a deep learning framework built using numpy arrays.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Multidimensional implementation of standard and extended Kalman Filters
Simple feedforward Neural Network.
Collection of notebooks for different things.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Notebooks for "Python for Signal Processing" book
torch-optimizer -- collection of optimizers for Pytorch
Quarto blog
Stellar classification algoritms.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Simple lightweight trainer to optimise PyTorch models.
Yet another tensor automatic differentiation framework
WIP: personal time series toolkit.
GitHub profile