Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

Scripts and utilities for processing electrophysiology data

An Analysis of the Distribution Law of Word Frequency and Stroke Number in Chinese

Miscellaneous IPython notebooks showing off plotly's features

Kaggle 入门教程

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

Experiments with using neural nets to solve a Rubik's Cube - read README first

Classification Problem to detect credit card fraud

Code exercises and demos complementing lecture materials.

MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection

My Master's thesis in Computer Engineering. My thesis involves using Software Defined Radios in radiometer applications.

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

Jupyter widget for quick visualization of Pandas dataframes using Vega and Altair