Keras implementation of GradCAM.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

A companion code for my Medium post

The Numenta Anomaly Benchmark

A DroneBlocks course on drone programming with Tello using Python scripts

Introduction to Chemical Engineering Analysis

kmeans using PyTorch

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

Lecture Notes for Linear Algebra Featuring Python

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Hands-on Exploratory Data Analysis with Python, published by Packt

NJU Master Course **Big Data Mining and Analysis**

A Scala kernel for Jupyter

Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)