Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Notebooks about Bayesian methods for machine learning

Combining satellite imagery and machine learning to predict poverty

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visua…

Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.

Trial on kaggle imagenet object localization by yolo v3 in google cloud