Posts, opinions and notes about machine learning, computer vision and related stuff.
The source files currently live on github. Also see my homepage for a list of projects related to the contents on this blog.
A list of all published posts follows.
- 09/2024 - A minimalistic implementation of Gaussian process regression
- 10/2022 - Parametric 3D modeling with GPT-3
- 12/2020 - Some experiments in learning signed distance fields from data
- 11/2020 - Generative graphics with random Fourier features
- 10/2020 - Sphere tracing CPPN-colored shapes
- 04/2020 - Lipschitz continuity and sphere tracing
- 04/2020 - A fast algorithm for generating triangle meshes from signed distance bounds
- 09/2019 - Some notes on ellipse fitting
- 07/2019 - Using decision trees for real-time localization of eye pupils
- 05/2019 - All-pairs Euclidean distance
- 01/2019 - Computing shape distributions from point clouds sampled on 3D meshes
- 01/2019 - Processing a numpy array in native code
- 01/2019 - Pattern-producing trees
- 12/2018 - Abstract colorization of 3D shapes with CPPNs
- 11/2018 - Using CPPNs to generate abstract visualizations from audio data
- 09/2018 - A tutorial on Principal Component Analysis
- 05/2018 - Fusing batch normalization and convolution in runtime
- 04/2018 - Compiling a face detector written in C to WebAssembly
- 04/2018 - pico.js: a face-detection library in 200 lines of JavaScript