Jose Vincent's Projects
My portfolio in progress
A curated list of awesome Python frameworks, libraries, software and resources
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Forecasting examples using ARIMA, SARIMA, Facebook Prophet & Auto TS
This is the official repo for the Heartbeat article, "The brilliant beginner's guide to model deployment: a clear and simple roadmap for getting your machine learning model out there and doing something cool"
A collection of useful .gitignore templates
Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
Readme for Github Profile :octocat:
Text summarization using seq2seq in Keras
A List of Recommender Systems and Resources
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
Python code for common Machine Learning Algorithms
Chatbot which helps you to get important statistics from the data to get insights to build Machine learning, Deep learning and Statistical models
Neural Nets for Nudity Detection and Censoring
📙 Amazon Web Services — a practical guide
A collective list of free APIs for use in software and web development.
Blueprint/Boilerplate For Python Projects
This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.
StructuralEquationModelling - SEM
Tensorflow seq2seq Implementation of Text Summarization.
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course