Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

Active fire detection and segmentation with CNN

An open source library and framework for deep learning on satellite and aerial imagery.

Techniques for deep learning with satellite & aerial imagery

Few-shot Learning / Meta-Learning on Remote Sensing Papers

Large scale object detection in aerial/satellite imagery

Bayesian active learning library for research and industrial usecases.

Active Deep Learning for Medical Imaging Segmentation

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

An implementation of the BADGE batch active learning algorithm.

Deep Active Learning

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

Adversarial Representation Active Learning

Variational Adversarial Active Learning (ICCV 2019)

Reusable BatchBALD implementation

an awesome list of decentralized services and technologies

A collection of interesting new networks and tech aiming at decentralisation (in some form).

Production infrastructure for machine learning at scale

RedisAI integration for MLFlow

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Automated Time Series Forecasting

AtsPy: Automated Time Series Models in Python (by @firmai)

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Ready-to-run Docker images containing Jupyter applications

Open Aircraft Performance Model and Python Toolkit

A toolbox for processing and analysing air traffic data