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Anuradha Wickramarachchi
Anuradha Wickramarachchi

1.99K Followers

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Published in Towards Data Science

·Sep 3, 2021

PyTorch Geometric Graph Embedding

Using SAGEConv in PyTorch Geometric module for embedding graphs — Graph representation learning/embedding is commonly the term used for the process where we transform a Graph data structure to a more structured vector form. This enables the downstream analysis by providing more manageable fixed-length vectors. Ideally, these vectors should incorporate both graph structure (topological) information apart from the node features…

Machine Learning

5 min read

PyTorch Geometric Graph Embedding
PyTorch Geometric Graph Embedding
Machine Learning

5 min read


Published in Towards Data Science

·Aug 24, 2021

What Can You Do With GNNs

Manipulation, Utility and Advantages of Graph Neural Networks — Graph neural networks (GNN) are gaining popularity due to the ubiquitous nature of the Graph Data structure. Graphs enable us to model many different problems in science in fields such as (but not limited to) biology, sociology, ecology, vision, education, economics, etc. …

Machine Learning

7 min read

What Can You Do With GNNs
What Can You Do With GNNs
Machine Learning

7 min read


Published in Towards Data Science

·Jul 11, 2021

Variational Autoencoders and Bioinformatics

Introduction to variational autoencoders and their application Bioinformatics/Metagenomics analysis — Autoencoders, in general, intend to learn a lower-dimensional representation of data. One of the main advantages of autoencoders is that they are capable of learning much complex lower dimensions whereas PCA-like decompositions are limited by their linear nature. Feel free to have a look at my article about auto-encoders.

Machine Learning

5 min read

Variational Autoencoders and Bioinformatics
Variational Autoencoders and Bioinformatics
Machine Learning

5 min read


Published in The Computational Biology Magazine

·Jun 11, 2021

Sequence Vectorization in Bioinformatics

An in-depth exploration of sequence vectorization and applications — In one of my previous articles, I mentioned how and what is vectorization. In gist, the process enables us to convert variable-length nucleotide sequences into fixed-length numeric vectors. For all the programming lovers, the link is below; Vectorization of DNA sequences Efficient conversion of ACGT sequences into k-mer frequency vectorsmedium.com

Bioinformatics

4 min read

Sequence Vectorization in Bioinformatics
Sequence Vectorization in Bioinformatics
Bioinformatics

4 min read


Published in Towards Data Science

·May 30, 2021

Introduction to Memory Mapped IO

Super-fast and parallel file writing with memory mapped IO — What is a Memory Mapped File? A memory mapped file is a segment in the virtual memory. Virtual memory is an abstraction on physical memory which is provided to the process by the operating system (OS). Should the OS run out of memory or see a process idling for long, such virtual memory segments will be…

Programming

5 min read

Introduction to Memory Mapped IO
Introduction to Memory Mapped IO
Programming

5 min read


Published in Towards Data Science

·Feb 27, 2021

Annotator for Object Detection

A tool to generate annotated images for computer vision — In computer vision, object detection is an interesting field with numerous application. Like any other supervised machine learning task, we need annotation or labels for this very task as well. However, annotation of images can be a tedious time-consuming task for many of us (lazy ones?). …

Machine Learning

4 min read

Annotator for Object Detection
Annotator for Object Detection
Machine Learning

4 min read


Published in Towards Data Science

·Feb 21, 2021

Computer Vision on Edge

Object detection with AIoT: An edge computing example — A few weeks back when I was window shopping at AliExpress I came across the wonderful Maixduino device. It was claimed to carry RISC V architecture along with a KPU (KPU is a general-purpose neural network processor). Contrasting specs of the board were as follows; CPU: RISC-V Dual Core 64bit…

Data Science

5 min read

Computer Vision on Edge
Computer Vision on Edge
Data Science

5 min read


Feb 5, 2021

A Complete MQTT+ESP32 Sensor Tutorial

Building an MQTT enabled door sensor using ESP32 and PlatformIO — This article is motivated by my previous article on ESPHome. Previously, we built a door sensor using ESPHome library. However, using an off-the-shelf platform grants us with little to no flexibility when it comes to micro-optimizations. …

Io T

5 min read

A Complete MQTT+ESP32 Sensor Tutorial
A Complete MQTT+ESP32 Sensor Tutorial
Io T

5 min read


Published in An Idea (by Ingenious Piece)

·Jan 26, 2021

HomeAssistant with ESPHome

Create simple home automation artefacts using ESP modules and HomeAssistant — Home automation can be expensive and complex. However, with the arrival of IoT platforms from vendors such as Tuya, Phillips, etc have made home automation a little simpler. However, the cost still remains a little higher and the customisations are far limited. Last but not least, none of the mentioned…

Io T

5 min read

HomeAssistant with ESPHome
HomeAssistant with ESPHome
Io T

5 min read


Jan 7, 2021

Cheapest Smart TV with Pi Zero

Build your own Smart TV with the help of a Raspberry Pi Zero device — Are you bored with your ordinary TV? Do you want to expand your media experience to a whole new level? Yet you are limited with the budget? Like me? Well, this would be the perfect Smart TV solution! Disclaimer: This tutorial might not be complete and can contain differences. Google…

Kodi

4 min read

Cheapest Smart TV with Pi Zero
Cheapest Smart TV with Pi Zero
Kodi

4 min read

Anuradha Wickramarachchi

Anuradha Wickramarachchi

1.99K Followers

https://anuradhawick.com/

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