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Class materials for computational physics course
Lime: Explaining the predictions of any machine learning classifier
Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Serverless Reference Architecture for Real-time File Processing
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
Example code from Learning Spark book
A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
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.
An efficient Python implementation for Bayesian inference in binary stars based on Stan.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
📊📉 Embed Plotly Dash into your Flask applications.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
SDK de la API de la bolsa de Santiago.
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a6…
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.