Londogard Blog

Automated Data Validation & Exploration

machine-learning
data

A presentation I did at work where we walk through different tools to automate or assist Data Exploration and Validation. A very exciting topic for sure!
Mar 20, 2023
Hampus Londögård

Best Practices Are Contextual

soft
pipeline
deep-learning
data

This is something all of us know but sometime forget, or ignore, when we learn about a new technology or methodology in a presentation/blog.
Feb 19, 2023
Hampus Londögård

Baby Monitor pt 2

python

I built a baby monitor! Built using Python, Svelte & Raspberry Pi.
Feb 6, 2023
Hampus Londögård

Polars - A Refreshingly Great DataFrame Library

data-engineering
pipeline
data

Polars is a DataFrame library written from ground-up to not only have a sensible API but also very efficient operations using multiple cores and clever optimizations such as predicate pushdown & much more!
Nov 30, 2022
Hampus Londögård

Probabilistic Forecasting Made Simple

machine-learning
timeseries

While researching probabilistic forecasting in a client project I managed to find a paper which opens the door to any neural network with dropout - which is the majority. That is, we can do probabilistic forecasting with essentially any network!
Nov 28, 2022
Hampus Londögård

Timeseries Learnings at AFRY

machine-learning
timeseries

Sharing knowledge based on working a lot with timeseries
Nov 23, 2022
Hampus Londögård

Babymonitor #1

python
raspberrypi

I’m building a babymonitor!
Nov 6, 2022
Hampus Londögård

Docker (Presentation)

presentation
machine-learning
docker

What is Docker? I went through Docker during our Journal Circle at AFRY X. This is a simple explanation for people not knowledgable about Docker.
Sep 7, 2022
Hampus Londögård

GPT2-snapsvisor - Generating Swedish Drinking Songs

machine-learning
nlp
fun

Snapsvisor is traditional Swedish Drinking Songs, sometimes they need some refreshing which I try to do through AI here! ;)
Jul 7, 2022
Hampus Londögård

Forecasting Crypto Prices using Deep Learning (Time Series #3)

machine-learning
timeseries
workshop

In this post/Jupyter Notebook we’ll forecast Cryptocurrency prices using Deep Learning (PyTorch, TF/Keras & darts) and we’ll use both both simpler networks and more complex ones like NBEATs.
Mar 13, 2022
Hampus Londögård

Predicting Stock Prices using classical machine Learning (Time Series #2)

machine-learning
timeseries
workshop

In this post/Jupyter Notebook we’ll look at stocks, forecasting and predictions using classical machine learning (sklearn) approaches.
Mar 12, 2022
Hampus Londögård

Decomposing & Working with Time Series (Time Series #1)

machine-learning
timeseries
workshop

In this post/Jupyter Notebook we’ll look at Time Series and theory surrounding them.
Mar 11, 2022
Hampus Londögård

KotlinJS, ONNX and Deep Learning in the browser

kotlin
web
deep-learning

Ever wanted to deploy State-of-the-Art Deep Learning models in the browser? In this blog you’ll learn about how to run inference through onnx webruntime directly inside the browser!
Jan 28, 2022
Hampus Londögård

Release nlp (londogard-nlp-toolkit) 1.1.0

nlp
jvm
kotlin

nlp (londogard-nlp-toolkit) has had it’s 1.1.0 release recently with a lot of new functionality and multiple improvements to efficiency, dive in to understand more!
Jan 16, 2022
Hampus Londögård

Seam Carving (Presentation & Workshop)

presentation
jvm
kotlin
workshop

Seam Carving is the task to remove empty room in a image. Have you ever wished to do ‘Content Aware Scaling’? Learn it now!
May 17, 2021
Hampus Londögård

Knowledge Distillation (Presentation)

presentation
machine-learning

What is Knowledge Distillation? How can this allow us to further utilize models and increase efficiency manifold?
Apr 18, 2021
Hampus Londögård

TIL: GitHub Pages + Progressive Web App (PWA) = ❤️

pwa
TIL

What are PWAs? How do I create or transform my web app into one? How can I deploy them (freely) via GitHub Pages?
Apr 11, 2021
Hampus Londögård

Building a Swedish Named Entity Recognition (NER) model (Flair/Huggingface)

nlp
machine-learning
workshop

Learn how to fine-tune a Flair NER model and quantize a BERT model from Huggingface to achieve SotA performance & a much more efficient model.
Mar 29, 2021
Hampus Londögård

When to use what - RegExp, String Replace & Character Replace (JVM/Kotlin)

jvm

A simple quick comparison on which method to use and in what case when replacing characters or strings in strings.
Mar 17, 2021
Hampus Londögård

Transformers From Scratch

nlp
machine-learning
deep-learning
workshop

In this post I walk through Self-Attention Transformers from scratch with demos at the end for Text Classification & Generation, where the PyTorch-code is wrapped by fast.ai to simplify end-2-end.
Feb 18, 2021
Hampus Londögård

TIL: GitPod - your editor in the cloud

jvm
kotlin
TIL

GitPod is a Cloud IDE where you can run everything from Kotlin to Python/JS. In this TIL how to launch native programs and more is shown in the GitPod IDE.
Jan 21, 2021
Hampus Londögård

Object Detection (Workshop)

presentation
machine-learning

How to do object detection using Transformers?
Dec 16, 2020
Hampus Londögård

Transfer Learning (Presentation)

presentation
machine-learning

What is Transfer Learning? Can I have the cake and eat it too?
Dec 12, 2020
Hampus Londögård

How to build and play Snake via Native Binary, JVM and JS/Browser (Kotlin)

gradle
kotlin
workshop
multiplatform

A three part blog (all included in this one) that goes through 1) How Kotlin Multiplatform works, 2) How to build a game (Snake) and finally 3) how to make it multiplatform.
Nov 7, 2020
Hampus Londögård

TIL: SDKMan - The Software Development Kit Manager

jvm
TIL

SDKMan is a tool to make JDK swapping, and installation, simple. It’s really good!
Sep 4, 2020
Hampus Londögård

TIL: fastutil - fast & compact type-speciic collections for JVM (no autobox!)

jvm
TIL

Discusses what autoboxing is, why it might hit your performance (and memory). Finally some alternatives are also provided. Learn how to use effective data collections today!
Sep 3, 2020
Hampus Londögård

TIL: ‘The Badass Runtime Plugin’, jpackage & jlink - create a ‘native’ installable executable from your JVM-app that isn’t huge

jvm
TIL

‘The Badass Runtime Plugin’ is a plugin that allows you to package a stripped down JRE and modules from your program into a ‘native’ installable program which doesn’t require the user to have Java installed. It takes help of JPackage & JLink to achieve this, my own small program ended up at 35 MB including JRE, which is pretty crazy. This is like Electron, but better! ;)
Sep 3, 2020
Hampus Londögård

CoViD-19 FAQ Search Engine 2.0

nlp
deep-learning
machine-learning
workshop

In this post I improve the previous FAQ search engine by some low hanging fruits. The requirements stay the same thus SotA is not achieved but rather it’s simply generic & easy on hardware (Raspberry Pi capable).
Aug 1, 2020
Hampus Londögård

SQL - Different Abstraction Levels (& how I came to love SQLDelight)

jvm
kotlin
db
multiplatform

In this post different abstraction levels of SQL is discussed with the final SQLDelight which turns the abstraction into the reverse.
Jun 1, 2020
Hampus Londögård

A simple FAQ search engine in Swedish using fastText & Smooth Inverse Frequency

nlp
machine-learning

A search engine for FAQs in Swedish. Completely unsupervised and making use of Word Embeddings & Smooth Inverse Frequency to embed sentences. Basically scratched an itch I’ve had for a while
May 13, 2020
Hampus Londögård

How I created a email generator in Kotlin (for Afry Tipsrundan)

kotlin
html

This blog goes through how to use Kotlin to generate good looking responsive emails. It’ll handle CSS, kotlin html DSL & kotlin serialization.
Mar 31, 2020
Hampus Londögård

Gradle, JVM and GitHub Packages

gradle
jvm

A simple show-case on how to publish libraries to both GitHub Packages & JitPack with a one-button release using gradle & GitHub Actions.
Feb 10, 2020
Hampus Londögård

AFRY NLP Competence Meeting: Text Classification IMDB

machine-learning
nlp
workshop

This blog contains my first Competence Meeting where basic NLP concepts where taught and an classifier with good performance was implemented (on IMDB sentiment).
Feb 4, 2019
Hampus Londögård
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