This is the repository of the course Data Science with Python at UNAM, with the lecturer Arrigo Coen and the TA Miriam Colín

Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"

A deep learning framework for symbolic optimization.

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

Machine learning-Stanford University

This is a repository of a new SAM data reduction pipeline

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…

All the solutions from the programming assignments of the Machine Learning Course in Coursera taught by Andrew NG, Professor of Stanford University

Code samples for my book "Neural Networks and Deep Learning"

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

EPFL Machine Learning Course, Fall 2024

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.