Large language models for text translation
In recent years, machine translation has come a long way. Thanks to advances in artificial intelligence and natural language processing …
Finetuning GPT-2 for scientific text generation
Suggesting that deep learning models based are capable of generating realistic text from a prompt would be an understatement. Ever …
Deploy machine learning models with R Shiny and ONNX
Python is often the go-to language for machine learning, especially for training deep learning models using the PyTorch or TensorFlow …
Plant ID app (part 2): REST API
In part 1 of this blog post, we downloaded ~25.000 images of 100 plant species and trained a deep learning classification model. The …
Plant ID app (part 1): Data and model training
Plants species can be truly difficult to tell apart and this job often requires expert knowledge. However, when images are available …
Parsing sonar data in Python using NumPy
Recreational-grade sonar equipment can collect vast amounts of data. Unfortunately, the data is often hidden in some kind of …
Shiny app for interactive time-series processing
Recently, there was a need for a way to cut and manipulate some timeseries data that had been collected to quantify greenhouse gas …
Creating mosaics from Sentinel 2 satellite imagery
Satellite imagery are collected at large scale and made freely available by institutions ESA and NASA. This data is collected at high …
New R-package for flow routing on digital elevation models
Digital elevation models (DEMs) are very convenient for modeling water flow. Some of the applications include delineation of …
Shiny apps for creating lake bathymetric maps
In a previous post I showed how to use R for creating bathymetric maps for lakes. To make this process even easier, I have created two …
