isaacmartinezch Goto Github PK

acoustictool

An Acoustic Simulation Tool using Unity/C# and Rhino/Grasshopper to Visualize and Analyze Sound Levels in a Room

bim-sample-test-files

Sample files of various formats and schema versions.

clustering-geolocation-data-intelligently-in-python

take raw geographical data, and cluster it effectively using basic or more advanced density-based clustering techniques

covid-19

Proyectos con los que aprendo a programar y que ayudan durante la pandemia de la COVID-19

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dynamo-scripts

My practice scripts and experiments to learn Dynamo for Revit

dynamo_public

Repository to share my functional scripts

examples

Examples of exercises that accompany Effective Computation in Physics

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

isaacmartinezch

Config files for my GitHub profile.

managing-and-visualizing-your-bim-data

Managing and visualizing your BIM data, published by Packt

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mas_alla_de_dynamo

Ejercicios del libro homónimo

matplotlib

matplotlib: plotting with Python

mexico-covid-19

Base de datos de los casos de COVID-19 reportados en México. Database of the cases of COVID-19 reported in Mexico.

openplan

pandana

Pandas Network Analysis: fast accessibility metrics and shortest paths, using contraction hierarchies :world_map:

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scikit-geometry

Scientific Python Geometric Algorithms Library

titanic-survival-exploration-using-machine-learning-model-the-decision-tree

In 1912, the ship RMS Titanic struck an iceberg on its maiden voyage and sank, resulting in the deaths of most of its passengers and crew. In this introductory project, I will explore a subset of the RMS Titanic passenger manifest to determine which features best predict whether someone survived or did not survive. To complete this project, i will need to implement several conditional predictions and answer the questions below.

urban-data-science

Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.