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DSP algorithms for chord detection + key estimation
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
reinfore learning tool box, contains trpo, a3c algorithm for continous action space
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Simple hash algorithm identification GUI using GTK4+Adwaita.
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
Noise Correction Algorithm for sCMOS cameras
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
algorithms for community detection from n-partite networks
A Python framework that uses machine learning algorithms to implement the metadata recovery attack against obfuscated programs.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
Exploit black-box recommenders for algorithm selection.