alejandrarocks Goto Github PK

2d-fem

Python code to solve for the displacement of a 2d beam using Finite Element Method. Towards a Design Project at BITS Pilani Goa Campus under Dr. Gaurav Singh

alejandrarocks

Config files for my GitHub profile.

an2-volumenes-finitos

basic-mathematics-for-machine-learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

books

Source code for 100+ books, kept here for quick reference

computer-vision

Computer Vision || IT5409 || 20202 || HUST

fem-2d

Finite element modeling of some 2D benchmarks : heat conduction, linear elasticity, dam break flow, viscous fingering in porous media.

force-2020-machine-learning-competition

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geopython

3D Seismic VIZ, Working with Database

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hydraulic-fracturing

FEM package in Matlab for hydraulic fracturing in transversely isotropic porous media

machine-learning-for-ae-location-in-rocks

ml4rocks

Tutorials for basic machine learning applied to mineral exploration

neuronal-network-for-sign-languagee

petrelli-m

Config files for my GitHub profile.

primeros_pasos_python

Este repositorio fue creado con el fin de ser utilizado en cursos donde se deba enseñar Python desde el comienzo y donde no exista el tiempo suficiente para dedicar a los primeros pasos.

python-is-for-lovers

My coworkers often ask me for Python learning resources. Here are some picks. Many skill levels, emphasis on beginner and intermediate.

python_earth_science_book

resources

Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

scikit-learn-book

Source code for the "Learning scikit-learn: Machine Learning in Python"

shotwavemod

Program for Seismic Wave Simulation

tutoriales-gmsh

Tutoriales sobre creación de mallas en GMSH y uso de la API en Python

unsam_2020c2_python

Curso de programación en Python - 2do cuatrimestre 2020 - UNSAM