Projects in Awesome Lists by raphaelsenn
A curated list of projects in awesome lists by raphaelsenn .
https://github.com/raphaelsenn/elastic-collision
Uses SFML for a compact physics simulation illustrating elastic collisions in C++.
2d 2d-graphics cpp elasticcollision graphics math physics physics-2d physics-based-animation physics-based-simulation physics-engine physics-simulation sfml simulation
Last synced: 17 Jul 2025
https://github.com/raphaelsenn/playervectors
Implementation of the paper "Player Vectors: Characterizing Soccer Players Playing Style from Match Event Streams".
Last synced: 04 Mar 2026
https://github.com/raphaelsenn/python-pathfinder-with-dijkstras-algorithm
Python project applies Dijkstra's algorithm for shortest maze pathfinding with visualization capabilities
algorithms-and-data-structures dijkstra-algorithm dijkstra-shortest-path dijkstrasalgorithm priority-queue pygame python3 shortest-path-algorithm visualization
Last synced: 27 Aug 2025
https://github.com/raphaelsenn/newton-raphson-fractals
Generate stunning Newton-Raphson fractal images in .ppm format, with your own polynomials.
complex-numbers cpp fractal fractal-images fractals mathematics newton-raphson ppm-format ppm-image
Last synced: 25 Jun 2025
https://github.com/raphaelsenn/house-price-prediction
Simple Neural Network (raw python, just using numpy) to predict house prices over a kaggle dataset (Boston House Prices).
Last synced: 03 Aug 2025
https://github.com/raphaelsenn/neural-network-autograd-cpp
A simple feed forward neural network (with autograd capabilities) in C++ (no external libarys).
ai algorithms artificial-intelligence artificial-neural-networks backpropagation cplusplus deep-learning machine-learning machine-learning-algorithms neural-network
Last synced: 04 Feb 2026
https://github.com/raphaelsenn/prefix-search-engine
Simple Prefix Binary Tree-based string search engine written in Rust.
algorithms-and-data-structures binary-search binary-search-tree binary-tree fltk prefix prefix-search rust rust-lang search-algorithm search-engine searchengine searching-algorithms
Last synced: 03 Sep 2025
https://github.com/raphaelsenn/info-retrieval-notebooks
Some information retrieval algorithms and datastructures (inverted index, ranking (bm25, tf, idf scores), fuzzy search, ...)
data-science fuzzy-search information-retrieval information-systems inverted-index searching-algorithms
Last synced: 17 Mar 2026
https://github.com/raphaelsenn/markov-next-word
Next word prediction using markov chains. No neural networks, no lstm, no transformers... Just 60 lines of python and simple math.
Last synced: 24 Jan 2026
https://github.com/raphsenn/eval-kaggle
Evaluating a bunch of kaggle datasets with machine learning algorithms.
Last synced: 27 Mar 2025
https://github.com/raphaelsenn/mnist-numpy
MNIST (Digits & Fashion) Neural Network (MLP) from scratch in raw NumPy, benchmarked against PyTorch.
deep-learning deep-neural-networks machine-learning mnist mnist-classification neural-network
Last synced: 27 Aug 2025
https://github.com/raphaelsenn/gameoflife
Game Of Life inside the terminal using C and ncurses libary.
Last synced: 02 Jul 2025
https://github.com/raphaelsenn/playervectors-ai
Clustering and predicting PlayerVectors using Machine Learning and Deep Learning algorithms.
Last synced: 16 May 2025
https://github.com/raphaelsenn/lucas-kanade
Simple C++ implementation of Lucas-Kanade optical flow using OpenCV.
Last synced: 10 Sep 2025
https://github.com/raphaelsenn/maxout
PyTorch implementation of the "Maxout unit" described in the paper "Maxout Networks".
Last synced: 23 Jun 2025
https://github.com/raphaelsenn/mandelbrot-set-visualizer-in-python
Visualizes the Mandelbrot set using the Python Imaging Library (PIL)
complex-numbers fractal-images mandelbrot mandelbrot-fractal mandelbrot-set mathematics maths python3
Last synced: 22 Aug 2025
https://github.com/raphaelsenn/dropout
PyTorch implementation of the dropout technique described in the paper: "Dropout: A Simple Way to Prevent Neural Networks from Overfitting"
Last synced: 23 Jun 2025
https://github.com/raphaelsenn/lenet-1
Implementation of "Backpropagation Applied to Handwritten Zip Code Recognition" in PyTorch.
Last synced: 16 Mar 2025
https://github.com/raphaelsenn/pixelzauber
Implementing a bunch image processing algorithms for .PGM files from scratch in C++.
Last synced: 23 Jun 2025
https://github.com/raphaelsenn/sorting-algorithm-visualization
sorting algorithm visualization in C++ with sfml
Last synced: 11 Sep 2025
https://github.com/raphaelsenn/gan
PyTorch reimplementation of "Generative Adversarial Networks" (Goodfellow et al., 2014).
Last synced: 22 Sep 2025
https://github.com/raphaelsenn/cgan
PyTorch reimplementation of "Conditional Generative Adversarial Nets" (Mirza and Osindero, 2014).
Last synced: 22 Sep 2025
https://github.com/raphaelsenn/alexnet
PyTroch implementation of AlexNet described in the revolutionary paper "ImageNet Classification with Deep Convolutional Neural Networks" from Hinton, Krizhevsky and Sutskever.
Last synced: 22 Sep 2025
https://github.com/raphaelsenn/mugrad
An autograd engine with PyTorch-like API - something between Karpathy's micrograd and George Hotz's tinygrad.
Last synced: 01 Aug 2025
https://github.com/raphaelsenn/horn-schunck
Simple C++ implementation of Horn-Schunck optical flow using OpenCV.
Last synced: 01 Aug 2025
https://github.com/raphaelsenn/pytorch-gans
PyTorch implementations of various GAN papers/architectures like GAN (Goodfellow at at.), DCGAN (Radford et al.), etc.
Last synced: 01 Aug 2025