Eddie Ng's repositories
azureml-ops-accelerator
Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOps on Azure leveraging Azure ML.
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
coursework
summer school coursework
data-engineering-zoomcamp
Free Data Engineering course!
Data-Science-Community
This repository comprises of the codes and resources pertaining to python and machine learning, that I cater to students during sessions for community of Data Science enthusiasts in my campus for free to encourage them to pursue this field in their career..
Data-Science-EBooks
Data Science E-books, Interview Resources and Cheat-sheets
Data-Science-Intern-at-Data-Glacier
Data Science Intern at Data Glacier
data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
dataverse
Open source research data repository software
Deep-Learning-Specialization-Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
design-sprint
Product Design Sprint Material
Handwritten-Equation-Solving-DL-Model
This repository consists of a deep learning model that evaluates handwritten equations from input images and solves them.
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
ml-for-beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
superset
Apache Superset is a Data Visualization and Data Exploration Platform
SynthText
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
table-transformer
Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.
The-Machine-Learning-Solutions-Architect-Handbook
The Machine Learning Solutions Architect Handbook, published by Packt
ttpla_dataset
aerial images dataset on transmission towers and power lines