Pinned Repositories
ai-notebooks
Some ai notebooks about Rational agents, Searching, Constraint satisfaction, Board games, Machine learning, Deep learning.
detect-ai-written-text
Detect AI generated text, logistic regression neural network, written in raw python (just using numpy, no pytorch).
elastic-collision
Uses SFML for a compact physics simulation illustrating elastic collisions in C++.
gameoflife
Game Of Life inside the terminal using C and ncurses libary.
house-price-prediction
Simple Neural Network (raw python, just using numpy) to predict house prices over a kaggle dataset (Boston House Prices).
info-retrieval-notebooks
Some information retrieval algorithms and datastructures (inverted index, ranking (bm25, tf, idf scores), fuzzy search, ...)
markov-next-word
Next word prediction using markov chains. No neural networks, no lstm, no transformers... Just 60 lines of python and simple math.
newton-raphson-fractals
Generate stunning Newton-Raphson fractal images in .ppm format, with your own polynomials.
playervectors
Implementation of the paper "Player Vectors: Characterizing Soccer Players Playing Style from Match Event Streams".
python-pathfinder-with-dijkstras-algorithm
Python project applies Dijkstra's algorithm for shortest maze pathfinding with visualization capabilities
raphaelsenn's Repositories
raphaelsenn/elastic-collision
Uses SFML for a compact physics simulation illustrating elastic collisions in C++.
raphaelsenn/python-pathfinder-with-dijkstras-algorithm
Python project applies Dijkstra's algorithm for shortest maze pathfinding with visualization capabilities
raphaelsenn/playervectors
Implementation of the paper "Player Vectors: Characterizing Soccer Players Playing Style from Match Event Streams".
raphaelsenn/ai-notebooks
Some ai notebooks about Rational agents, Searching, Constraint satisfaction, Board games, Machine learning, Deep learning.
raphaelsenn/detect-ai-written-text
Detect AI generated text, logistic regression neural network, written in raw python (just using numpy, no pytorch).
raphaelsenn/newton-raphson-fractals
Generate stunning Newton-Raphson fractal images in .ppm format, with your own polynomials.
raphaelsenn/gameoflife
Game Of Life inside the terminal using C and ncurses libary.
raphaelsenn/house-price-prediction
Simple Neural Network (raw python, just using numpy) to predict house prices over a kaggle dataset (Boston House Prices).
raphaelsenn/info-retrieval-notebooks
Some information retrieval algorithms and datastructures (inverted index, ranking (bm25, tf, idf scores), fuzzy search, ...)
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.
raphaelsenn/neural-network-autograd-cpp
A simple feed forward neural network (with autograd capabilities) in C++ (no external libarys).
raphaelsenn/prefix-search-engine
Simple Prefix Binary Tree-based string search engine written in Rust.
raphaelsenn/horn-schunck
Simple C++ implementation of Horn-Schunck optical flow using OpenCV.
raphaelsenn/lucas-kanade
Simple C++ implementation of Lucas-Kanade optical flow using OpenCV.
raphaelsenn/mandelbrot-set-visualizer-in-python
Visualizes the Mandelbrot set using the Python Imaging Library (PIL)
raphaelsenn/maxout
PyTorch implementation of the Maxout unit, described in the paper "Maxout Networks, Goodfellow et al. 2013".
raphaelsenn/mnist-numpy
MNIST (Digits & Fashion) Neural Network (MLP) from scratch in raw NumPy, benchmarked against PyTorch.
raphaelsenn/pytorch-GANs
PyTorch implementations of various GAN papers/architectures like GAN (Goodfellow at at.), DCGAN (Radford et al.), etc.
raphaelsenn/unet
A PyTorch implementation of U-Net.
raphaelsenn/alexnet
PyTroch implementation of AlexNet described in the revolutionary paper "ImageNet Classification with Deep Convolutional Neural Networks" from Hinton, Krizhevsky and Sutskever.
raphaelsenn/CGAN
PyTorch reimplementation of "Conditional Generative Adversarial Nets" (Mirza and Osindero, 2014).
raphaelsenn/configs
Some configs of mine.
raphaelsenn/DCGAN
PyTorch reimplementation of "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks" (Radford et al., 2015).
raphaelsenn/dropout
PyTorch implementation of the dropout technique described in the paper: "Dropout: A Simple Way to Prevent Neural Networks from Overfitting"
raphaelsenn/GAN
PyTorch reimplementation of "Generative Adversarial Networks" (Goodfellow et al., 2014).
raphaelsenn/mugrad
An autograd engine with PyTorch-like API - something between Karpathy's micrograd and George Hotz's tinygrad.
raphaelsenn/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️