Name: Ugenteraan Manogaran
Type: User
Company: @ombreapp @MMU-Vision-Lab @Technologia-X @DevconX
Bio: Would have been fun if this page had the editing capability like Friendster back then :(
Location: Cyberjaya, Malaysia
Ugenteraan Manogaran's Projects
Visualizing the filters of a traditional CNN and a CNN with an attention mechanism.
A function in lambda triggered by a data push to sqs.
A manual calculation of batch normalization with Tensorflow and using Tensorflow's built-in module Batch Normalization.
Convert Berkeley Deep Drive's json formatted dataset to Pascal VOC XML annotation format.
Python version of Kaggle's answer:
Capsule network in Tensorflow for MNIST
Capsule Network with Dynamic Routing using PyTorch version 1.4
Comparison between CNN and CapsNet
A complete chess game with GUI using python and tkinter (Fully commented)
Samples for Google Cloud Machine Learning Engine
A python script to generate convex polygons.
For an introductory tutorial on how to use the Blue Ocean feature of Jenkins to create a Pipeline that builds an application.
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
PyTorch implementation of DeepCaps : Going Deeper with Capsule Networks. Original research paper : https://arxiv.org/abs/1904.09546.
PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
Discrete Fourier Transform and Fast Fourier Transform implementation using only NumPy with notes of derivation.
Using Android phone as the brain to control the EV3 Lego Mindstorm robot through a web application.
Controlling the EV3 Lego Mindstorm (LeJos) through an Android App (Java.net.Socket)
Face detection and recognition using Eigenfaces implemented with only NumPy and OpenCV
Region Proposal Network (RPN) of Faster R-CNN implementation in Python and Tensorflow 1.8 with explanations.
Jekyll theme based on Freelancer Start Bootstrap theme
Stream image bytes to the server one row at a time!
Hello World repository
PyTorch implementation of I-JEPA
Understanding the evolution of transformers from RNN. For learning purposes only.
Jarvis' March or Gift Wrapping algorithm to calculate convex hull.
Image Segmentation using K-Means (K-Means from scratch)