MCaleroSanchez

03MAIR---Algoritmos-de-Optimizacion---2020

ar-cutpaste

Cut and paste your surroundings using AR

awesome-computer-vision

A curated list of awesome computer vision resources

azure-ml-coursera-

beto

BETO - Spanish version of the BERT model

BMW-TensorFlow-Inference-API-GPU

This is a repository for an object detection inference API using the Tensorflow framework.

BMW-TensorFlow-Training-GUI

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.

BMW-YOLOv3-Training-Automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.

Introduction_to_Julia_tutorials

These are the jupyter notebooks used for intro tutorials to teach Julia

probabilidad

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

MCaleroSanchez/probabilidad

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

MCaleroSanchez/ar-cutpaste

Cut and paste your surroundings using AR

MCaleroSanchez/azure-ml-coursera-

MCaleroSanchez/business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.

MCaleroSanchez/Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

MCaleroSanchez/contextualSpellCheck

Contextual word checker for better suggestions

MCaleroSanchez/Coursera

MCaleroSanchez/Coursera_PracticalMachineLearning

MCaleroSanchez/courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

MCaleroSanchez/curso-atipicos

MCaleroSanchez/curso-estadistica-multivariante

Curso de Estadística Multivariante con R y Python junto a Elisa Cabana

MCaleroSanchez/curso-series-temporales

MCaleroSanchez/dash-sample-apps

Apps hosted in the Dash Gallery

MCaleroSanchez/datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

MCaleroSanchez/Deep-Mouse-Hand-Pose-Estimation

Mouse controller based on hand pose estimation

MCaleroSanchez/deeplearning-az

MCaleroSanchez/Developing_Data_Products

Developing Data Products Course from the Johns Hopkins Data Science Lab

MCaleroSanchez/End-to-End-AutoML-Insurance

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

MCaleroSanchez/Estadistica-con-R

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

MCaleroSanchez/estadistica-inferencial

Estadística Inferencial para Machine Learning e Inteligencia Artificial con R y Python con los Drs R.Alberich y A.Mir

MCaleroSanchez/machine_learning_examples

A collection of machine learning examples and tutorials.

MCaleroSanchez/ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

MCaleroSanchez/Most-Interesting-Deep-Learning-Papers-Compilation

Just some compilation I've made of the papers I found most interesting.

MCaleroSanchez/pydrift

How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is that a data source has changed (one or more variables) or maybe what changes is the relationship of these variables with the target we want to predict. `pydrift` tries to facilitate this task to the data scientist, performing this kind of checks and somehow measuring that degradation.

MCaleroSanchez/pygln

Python implementation of GLN in different frameworks

MCaleroSanchez/SentimentAnalysis

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

MCaleroSanchez/TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

MCaleroSanchez/texthero

Text preprocessing, representation and visualization from zero to hero.

MCaleroSanchez/twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

MCaleroSanchez/YouTubeLI

Github repo to upload demo files of youtube videos and linkedin