Horovod is a distributed training framework for TensorFlow. The goal of Horovod is to make distributed Deep Learning fast and easy to use.
Pyro is a tool for deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling. The goal of Pyro is to accelerate research and applications of these techniques, and to make them more accessible to the broader AI community.
kepler.gl is a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation data sets. Built on top of deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly.
A simple app that allows you to search for a city and it if that city has ride sharing providers.
It currently looks for:
* Chauffeur Prive
* Taksi Helsinki
* Lady Driver
* 99 Pop
* Yandex Taxi
Any more are always welcome :)
Analyses your full uber ride history for interesting statistics. This includes:
* Total spent, in all currencies
* Favorite locations
* # Rides by year, month, and car model
* Total distance traveled
Original blog post here -> https://blog.jonlu.ca/posts/uber-stats
Ludwig is a toolbox that allows to train and test deep learning models without the need to write code.