NLP Products on a Raspberry Pi

📝 Blogs

Londogard Blog Blog
Only last 4 blogs. All blogs↗

Forecasting Crypto Prices using Deep Learning (Time Series #3)
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.
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Predicting Stock Prices using classical machine Learning (Time Series #2)
In this post/Jupyter Notebook we'll look at stocks, forecasting and predictions using classical machine learning (sklearn) approaches.
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Decomposing & Working with Time Series (Time Series #1)
In this post/Jupyter Notebook we'll look at Time Series and theory surrounding them.
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KotlinJS, ONNX and Deep Learning in the browser
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!
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🤖 Projects

Presenting a few of our projects, find the rest here↗

SweNER

A State-of-the-Art Named Entity Recognizer for Swedish
Developed to strike a balance between performance, efficiency & usability there exists two models of different architectures.
The models are quantized (1/4th size, 4x faster) and run on a single Raspberry Pi along with our other projects!
Demo↗

ColorKidz

Convert your images into colouring pages
Our only Progressive Web App (PWA) this far. ColorKidz turns your photo into a colouring page using an algorithmic approach.
Demo↗

Summarizer
A State-of-the-Art language-independent extractive summarizer.
Built a very powerful yet simple summarizer that uses pure statistics, no large neural networks or anything. It does extractive summarization and it's only the TfIdf-variant is language independent.
Demo↗