Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

Google Research

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Probabilistic time series modeling in Python

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

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

Uplift modeling and causal inference with machine learning algorithms

The global fossil fuel supply chain, mapped at the asset-level.

Understanding crop yield predictions from CNNs as our final project for CS231N

Crop Yield Prediction with Deep Learning

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…