🎯
Focusing
PhD student in Microelectronics. Previously MSc Embedded Systems and BSc in Aerospace Engineering student at Delft University of Technology.
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Webcellence
- The Netherlands
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14:00
(UTC +01:00) - https://douwe.xyz
- https://orcid.org/0000-0001-8658-8287
- @douwedb
- douwe.db
- in/douwedenblanken
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flw0/equation-editor-react
flw0/equation-editor-react PublicEquation editor based on Mathquill for React web apps
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LSTM-Sequential-MNIST
LSTM-Sequential-MNIST PublicReference performance of an LSTM in PyTorch for the sequential MNIST task
Jupyter Notebook 3
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Möller–Trumbore ray-triangle interse...
Möller–Trumbore ray-triangle intersection algorithm (for ray tracing) in Python and Numpy, vectorized 1On my 2014 MacBook Pro (2.5 GHz), this vectorized version is about 250 times faster when used for a large numbers of triangles compared to the original algorithm. You can also parallelize this code over multiple threads, but due to the large overhead of creating a thread pool, this is only really useful when you have a very large number of rays.
23I also tried to vectorize the rays, instead of using a loop. I did this by using:
45```python3
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Matrix multiplication in graph form
Matrix multiplication in graph form 1{
2"cells": [
3{
4"cell_type": "markdown",
5"metadata": {},
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viola-jones-python
viola-jones-python PublicThe simplest Python Viola Jones implementation
Python 2
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Simple sequential MNIST dataset impl...
Simple sequential MNIST dataset implementation in Python and PyTorch for usage in recurrent neural networks. See for project using this dataset here: https://github.com/V0XNIHILI/LSTM-Sequential-MNIST 1import torch
2import torch.nn as nn
3import torchvision
4from torch.utils.data import Dataset
5
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