Python library to implement advanced trading strategies using machine learning and perform backtesting.
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Updated
Aug 28, 2019 - Python
Python library to implement advanced trading strategies using machine learning and perform backtesting.
A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in q…
Python library for synchronization on hypergraphs
Kuramoto Phase-Coupled Oscillator Attention in Transformers
[NeurIPS 2024] Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
High-precision physics engine dedicated to the study of standing waves and visualization of its normal modes.
This repository contains the code and data to reproduce the results and figures from the study: Daniel Koch, Ulrike Feudel, Aneta Koseska (2025). Criticality governs response dynamics and entrainment of periodically forced ghost cycles. Physical Review E, XX: XXXX–XXXX.
I have created a PYTHON program (around 1000 lines of code) for my Raspberry Pi 4 to automate an old, purely mechanical winding machine for winding coils using copper wire, mainly used for the purpose of motors/generators, etc. Initially, you would have to manually wind your coils mechanically by using your right hand to turn the spindle, which …
Simulation of the Swarmalator Model and exploring methodes to achieve faster convergence using an additive momentum term
QKONGS - These codes describe the design and implementation of a Quantum Kuramoto oscillator chain network simulation consisting of three to four interconnected subsystems: The simulation evaluates how oscillator phases evolve and synchronize under varying coupling strengths and structural configurations representing phase-entanglement coupling.
Interactive phase-oscillator simulator on S1, metric graphs from self-intersecting curves, and S2 (Lohe model). PySide6 + pyqtgraph.
Synth Waveform Analysis on Parameterized Oscillators and White Noise
Poscidyn (Python oscillator dynamics) is a Python toolkit based on JAX, designed to streamline and accelerate time-response and frequency-sweep simulations. It leverages novel parallelization strategies to gain a speed advantages over standard continuation software.
A PyGame simulation of the motion over time for an interconnected mass-spring-system with n masses
Simple Sound Oscillator
A research program on emergent spacetime, gravity, and quantum signatures from networks of delayed oscillators. Framework defines memory as retained correlation over cycles. A resonance is a "fluctuation that replays itself".
A computational neuroscience project modelling synchronisation in neural networks
🗣️👂 A self-organizing neuroacoustic system that transforms live sound into evolving oscillator-field dynamics and generates responses from emergent synchronization
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