bademiya21
Director, AI Engineering. Proficient in Python, R, C/C++ and Object Oriented Programming.
Munich Re CanadaToronto, Ontario, Canada
Pinned Repositories
AI-102-AIEngineer
Lab files for AI-102 - AI Engineer
annotator-app
This flask app is a simple personal project (done by Andrew Tan[@a-tanman] and myself) that is meant to make it easier to label/annotate text data for creating datasets for supervised machine learning.
Difference-of-Gaussian-Edge-Texture-Based-Background-Modeling-for-Dynamic-Traffic-Conditions
Note: This is a very old Visual 2005 project which has not been tested to work with later versions of Visual Studio. Use at your own risk.
Discriminative-Robust-Local-Binary-and-Ternary-Patterns
Contains the codes for Discriminative and Robust Local Binary Pattern and Discriminative and Robust Local Ternary Pattern for object recognition developed by me during my PhD studies.
Extended-Histogram-of-Gradients
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
gds-webinar-scale-demo
Demo for GDS 2022 February Webinar
Identifying-Commuter-Travel-Patterns-In-Bus-Services
A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to further enhance commuter experience on bus services e.g. shorter waiting time, faster trips with skipping of bus stops etc. This required understanding archetypes of travel patterns by commuters in bus services. This project is an extension of what was previously done here: https://blog.data.gov.sg/fingerprint-of-a-bus-route-73e5be53dcf0
Knapsack-solution-for-Resource-Allocation
A solution for resource allocation based on limited constraints
Supervised-Classification-of-Text-Categories
This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.
Topic-Modeling-with-Automated-Determination-of-the-Number-of-Topics
My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics
bademiya21's Repositories
bademiya21/Topic-Modeling-with-Automated-Determination-of-the-Number-of-Topics
My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics
bademiya21/Discriminative-Robust-Local-Binary-and-Ternary-Patterns
Contains the codes for Discriminative and Robust Local Binary Pattern and Discriminative and Robust Local Ternary Pattern for object recognition developed by me during my PhD studies.
bademiya21/Extended-Histogram-of-Gradients
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
bademiya21/Knapsack-solution-for-Resource-Allocation
A solution for resource allocation based on limited constraints
bademiya21/Identifying-Commuter-Travel-Patterns-In-Bus-Services
A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to further enhance commuter experience on bus services e.g. shorter waiting time, faster trips with skipping of bus stops etc. This required understanding archetypes of travel patterns by commuters in bus services. This project is an extension of what was previously done here: https://blog.data.gov.sg/fingerprint-of-a-bus-route-73e5be53dcf0
bademiya21/Supervised-Classification-of-Text-Categories
This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.
bademiya21/AI-102-AIEngineer
Lab files for AI-102 - AI Engineer
bademiya21/annotator-app
This flask app is a simple personal project (done by Andrew Tan[@a-tanman] and myself) that is meant to make it easier to label/annotate text data for creating datasets for supervised machine learning.
bademiya21/Difference-of-Gaussian-Edge-Texture-Based-Background-Modeling-for-Dynamic-Traffic-Conditions
Note: This is a very old Visual 2005 project which has not been tested to work with later versions of Visual Studio. Use at your own risk.
bademiya21/gds-webinar-scale-demo
Demo for GDS 2022 February Webinar
bademiya21/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
bademiya21/gpt-3
GPT-3: Language Models are Few-Shot Learners
bademiya21/graph-book
The Code Examples and Notebooks for The Practitioners Guide to Graph Data
bademiya21/HDB-Resale-GeekOut
bademiya21/interpret
Fit interpretable models. Explain blackbox machine learning.
bademiya21/LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
bademiya21/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
bademiya21/ml-pipeline-generator-python
ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate their local ML models onto GCP and start realizing the benefits of the cloud quickly.
bademiya21/mlflow-example
An example MLflow project
bademiya21/mlopsworld2020-kubeflow
workshop materials for the mlopsworld 2020
bademiya21/mlopsworld2020-mlflow
mlflow workshop material for mlopsworld 2020
bademiya21/mslearn-ai900
Lab files for AI-900: Azure AI Fundamentals
bademiya21/mslearn-dp100
Lab files for Azure Machine Learning exercises
bademiya21/notebooks-contrib
RAPIDS Community Notebooks
bademiya21/Optical-Flow-Histogram-Features-for-Anomaly-Movements-in-Video
This repository contains codes for a project I did where we detect hypermotor seizures in an unsupervised environment.
bademiya21/recommenders
Best Practices on Recommendation Systems
bademiya21/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
bademiya21/spark-rapids
Spark RAPIDS plugin - accelerate Apache Spark with GPUs