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++.
eval-kaggle
Evaluating a bunch of kaggle datasets with machine learning algorithms.
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.
prefix-search-engine
Simple Prefix Binary Tree-based string search engine written in Rust.
python-pathfinder-with-dijkstras-algorithm
Python project applies Dijkstra's algorithm for shortest maze pathfinding with visualization capabilities
tinylang
Simple and tiny language model (next token prediction) using pytorch.
raphsenn's Repositories
raphsenn/python-pathfinder-with-dijkstras-algorithm
Python project applies Dijkstra's algorithm for shortest maze pathfinding with visualization capabilities
raphsenn/elastic-collision
Uses SFML for a compact physics simulation illustrating elastic collisions in C++.
raphsenn/detect-ai-written-text
Detect AI generated text, logistic regression neural network, written in raw python (just using numpy, no pytorch).
raphsenn/newton-raphson-fractals
Generate stunning Newton-Raphson fractal images in .ppm format, with your own polynomials.
raphsenn/ai-notebooks
Some ai notebooks about Rational agents, Searching, Constraint satisfaction, Board games, Machine learning, Deep learning.
raphsenn/house-price-prediction
Simple Neural Network (raw python, just using numpy) to predict house prices over a kaggle dataset (Boston House Prices).
raphsenn/info-retrieval-notebooks
Some information retrieval algorithms and datastructures (inverted index, ranking (bm25, tf, idf scores), fuzzy search, ...)
raphsenn/markov-next-word
Next word prediction using markov chains. No neural networks, no lstm, no transformers... Just 60 lines of python and simple math.
raphsenn/prefix-search-engine
Simple Prefix Binary Tree-based string search engine written in Rust.
raphsenn/eval-kaggle
Evaluating a bunch of kaggle datasets with machine learning algorithms.
raphsenn/gameoflife
Game Of Life inside the terminal using C and ncurses libary.
raphsenn/logistic-regression-model-py
Simple logistic regression model using raw python and numpy.
raphsenn/mandelbrot-set-visualizer-in-python
Visualizes the Mandelbrot set using the Python Imaging Library (PIL)
raphsenn/neural-network-autograd-cpp
A simple feed forward neural network (with autograd capabilities) in C++ (no external libarys).
raphsenn/sorting-algorithm-visualization
sorting algorithm visualization in C++ with sfml
raphsenn/tinylang
Simple and tiny language model (next token prediction) using pytorch.
raphsenn/configs
Some files of mine.
raphsenn/levenshtein
Levenshtein distance and similarity metrics for strings.
raphsenn/prettytable
PrettyTable is a lightweight table with SQL like operations, it features a simple and intuitive table design (written in C++).
raphsenn/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️