Pubudu Premathilaka's repositories
abea-on-fpga
Effective utilization of OpenCL to map the Adaptive Banded Event Alignment(ABEA) algorithm to run efficiently on an FPGA.
cepdnaclk.github.io
Github pages website for Department of Computer Engineering, University of Peradeniya
codeBase
This repository is to store useful algorithms which are used frequently and to study them
CU2CL
A prototype CUDA-to-OpenCL source-to-source translator, built on the Clang compiler framework
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
e15-4yp-Accelerating-Adaptive-Banded-Event-Alignment-Algorithm-with-OpenCL-on-FPGA
Effective utilization of OpenCL to map the Adaptive Banded Event Alignment(ABEA) algorithm to run efficiently on an FPGA.
eng.pdn.ac.lk-unofficial-interim-transcript-template
An (unofficial) interim transcript template for undergraduates of eng.pdn.ac.lk (Faculty of Engineering, University of Peradeniya)
EngineCL
Usability and Performance in Heterogeneous Computing. Official EngineCL repository. Peer-reviewed (FGCS).
f5c
Ultra-fast methylation calling and event alignment tool for nanopore sequencing data (supports CUDA acceleration)
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
javascript-essential-training-2832077
JavaScript Essential Training
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
learnopencv
Learn OpenCV : C++ and Python Examples
Machine-Learning-Courses
Coursera Courses
MAS_spreader_machine_automation
Automate data recording of spreader machines for MAS
models
Models and examples built with TensorFlow
opencv-haar-classifier-training
Learn how to train your own OpenCV Haar classifier
serverless-express-typescript-sqs
A starter kit for a serverless producer consumer queue setup implemented with Node.js
TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!