Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.

A simplistic and efficient pure-python neural network library from Phys Whiz.

A Python library for efficient feature ranking and selection on sparse data sets.

A customized sparse solver wrapper with Numba compatibility

Building upon original repo, trying to implement encoder-decoder transformer using CUDA

This is a tutorial about Numba-CUDA

A small sample of a volumetric Lagrangian Coherent Structure code for GPUs and CPUs leveraging Numba.

Simulation of plant growth in 2D. Accelerated with Numba

A simple problem to compare execution speed between Numba and C++

Materials for ARC's cluster club session on accelerating scientific python codes

A 2D Fractal Generator

Python project which is used single thread, multi thread with Numba jit compiler.

A 3D procedurally generated maze game, based off of 2D ray casts. Built in python using limited libraries.

Modern Portfolio Theory (MPT) and Monte Carlo simulations to optimize and backtest a portfolio of various financial assets

Plasma Particle Dynamics (PPDyn), a python code to simulate plasma particles using Molecular Dynamics Algorithm. Numba JIT compiler for Python has been implemented for faster performance. Detailed documentation can be found at https://ppdyn.readthedocs.io/.

This repository contains an advanced tutorial on optimizing Python code for machine learning applications, focusing on processing large amounts of data efficiently. It covers three powerful libraries: Numba, NumPy, and Polars.

Parallelized N-body code in Python + Numba to simulate galaxy mergers with ~2×10⁵ particles

This is the code for my Internal Assessment in IB Math AA HL.

A high-performance, parallelized order book simulator with trace-level performance introspection using magic-trace. Designed for systems engineers and quant-minded developers.

QuantHedge-MM implements advanced computational methods for pricing and hedging options in markets with stochastic regime shifts. Built for quants and researchers, it extends Black-Scholes to Markov-modulated models.