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Hey there, I'm Patrick! 👋

I'm passionate about Artificial Intelligence, with a specific focus on Deep Learning, Computer Vision, and Robotics. I recently completed my Master's in Computing with a specialization in Artificial Intelligence from the National University of Singapore. I'm ready for my next adventure and am currently seeking a full-time job.

My interests include:

  • 🧠 Deep Learning: I love exploring the limitless possibilities of deep learning algorithms and their applications in various domains.
  • 👀 Computer Vision: The ability to teach machines to perceive the world through visual data fascinates me, and I enjoy working on computer vision projects.
  • 🤖 Robotics: The prospect of building intelligent machines that can interact with the physical world is something that continuously drives my curiosity and motivation.

When I'm not diving deep into the world of AI and technology, you can find me indulging in my other passions:

  • ⚽ Football: I've been playing football since I was five years old. Nothing beats the high of stepping onto the field!
  • 🎾 Tennis: I picked up a racket recently. I'm still a newbie, but I love the sport.

Connect with Me

I'm always interested in collaborating on new projects, discussing AI research, or just chatting about football and tennis! Feel free to reach out to me through the following channels:

patrickeala's Projects

6dof-graspnet icon 6dof-graspnet

Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.

dgcnn.pytorch icon dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

fast_od_rpi icon fast_od_rpi

Faster Object Detection on Low-Compute Devices through Binarization

graspsampler icon graspsampler

GraspSampler is a library that efficiently generates grasping datasets by quickly sampling millions of parallel-jaw grasps around specific target objects.

isaacgymgrasp icon isaacgymgrasp

IsaacGymGrasp runs a robot grasping physics simulator that can visualize, execute, and evaluate numerous robot grasps in simultaneous environments.

lanenet-postprocess icon lanenet-postprocess

LaneNet is an lane detection algorithm for autonomous driving. This repository contains the post processing algorithm for lane detection in C++ which allows for high inference speeds on deployed perception systems.

lanenet-trt icon lanenet-trt

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

ssd-keras icon ssd-keras

Forked from https://github.com/pierluigiferrari/ssd_keras, implementing MobileNet version.

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