patrickeala
Master’s graduate of AI from the National University of Singapore. I am passionate about autonomous driving, robotic grasping, and computer vision.
Pinned Repositories
6dof-graspnet
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
deep-learning
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
ee298
EE 298 HWs and Projects
fast_od_rpi
Faster Object Detection on Low-Compute Devices through Binarization
GraspSampler
GraspSampler is a library that efficiently generates grasping datasets by quickly sampling millions of parallel-jaw grasps around specific target objects.
IsaacGymGrasp
IsaacGymGrasp runs a robot grasping physics simulator that can visualize, execute, and evaluate numerous robot grasps in simultaneous environments.
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
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
patrickeala's Repositories
patrickeala/GraspSampler
GraspSampler is a library that efficiently generates grasping datasets by quickly sampling millions of parallel-jaw grasps around specific target objects.
patrickeala/IsaacGymGrasp
IsaacGymGrasp runs a robot grasping physics simulator that can visualize, execute, and evaluate numerous robot grasps in simultaneous environments.
patrickeala/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.
patrickeala/6dof-graspnet
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
patrickeala/deep-learning
patrickeala/Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
patrickeala/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
patrickeala/ee298
EE 298 HWs and Projects
patrickeala/fast_od_rpi
Faster Object Detection on Low-Compute Devices through Binarization
patrickeala/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/
patrickeala/non-maximum-suppression-cpp
patrickeala/non-maximum-suppression-cpp-eigen
patrickeala/osrm-backend
Open Source Routing Machine - C++ backend
patrickeala/patrickeala
patrickeala/pytorch_6dof-graspnet
patrickeala/Sequence-Level-Semantics-Aggregation
Sequence Level Semantics Aggregation for Video Object Detection
patrickeala/ssd-keras
Forked from https://github.com/pierluigiferrari/ssd_keras, implementing MobileNet version.
patrickeala/thundernet-frcnn-with-keras
Deriving ThunderNet from Faster R-CNN written with Keras