caleb-andrade Goto Github PK

ai-search

algorithmic-thinking

This represents my work of the Algorithmic thinking I & II modules from the Principles of Computing offered by Rice University and Coursera.

algorithms-princeton

This represents my work on the Algorithms MOOC offered by Princeton and Coursera.

caleb-andrade

Config files for my GitHub profile.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

connect-four

container-selection

This is a Kmeans Clustering approach to solve the continuous version of the Container Selection Problem (CSP) in two dimensions.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-vaccine

Data analysis and visualizations of daily COVID cases report

csp-sudoku

ddlp-phd-thesis

Study of algorithmic efficiency for a combinatorial optimization problem.

deep-learning

This represents my work on the MOOC Deep Learning Specialization offered by Coursera.

dna-sequencing

docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

flake8-import-order

Flake8 plugin that checks import order against various Python Style Guides

ilm

Easily fine tune GPT-2 to fill in missing text

introduction-programming-python

This represents my work in the MOOC Introduction to Programming in Python offered by Rice University and Coursera.

inventory-control

Inventory control problem, Stony Brook University 2015 This project was as a team, in which I worked on the implementation of Simulated Annealing to solve an inventory control problem of two products with correlated demands. I wrote the code in Python.

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

lexical_simplification_bert

lra

Latent RNA-seq Analysis

master-thesis-color-optimization

An optimization model for the design of a palette of colors, Mathematics Institute UNAM 2011-2014.

menu-planning

Automatic menu planner in industrial dining rooms, FORDECYT-UNAM 2020 I developed an integer linear programming model to select menus from a recipe data set automatically. The objective is to fulfill the nutritional needs and taste preferences of its users. I wrote the code in Python.

my-new-repo

connection vs code to github

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

nox

Flexible test automation for Python

pep8.org

PEP 8, for Humans.

principles-of-computing