TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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…

TensorFlow Tutorials with YouTube Videos

Deep Learning Specialization by Andrew Ng on Coursera.

Google Brain AutoML

This is Andrew NG Coursera Handwritten Notes.

Implementing a Neural Network from Scratch

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Attempting to make the Deep Learning Book easier to understand.

Implementations of CNNs, RNNs, GANs, etc

Introduction to Statistics using Python

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Code for my medium article

Visualising LIDAR data from KITTI dataset.

This project implements the 2016 paper Deep Image Homography Estimation by DeTone, Malisiewicz, and Rabinovich.

Practice NCS using minst dataset with Keras

SLAM: Why Robots Don't Crash