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

This is a tutorial about Numba-CUDA

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

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

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

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

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

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

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.

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/.

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

A 2D Fractal Generator

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

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.

This repository contains a Python script that performs portfolio risk analysis on selected assets using Value at Risk (VaR) and Expected Shortfall (ES) measures. The script uses Numba to optimize the risk calculations, downloads historical data from Yahoo Finance with yfinance, and visualizes the portfolio's return distribution

Single neuronal models encoded in python language numba speed up. Note model waveforms are returned in Neo Format and model currents and voltages are represented with quantities units.

This project implements a CNN from scratch using NumPy and Numba to recognize hand signs representing digits (0-9) from the Sing Language MNIST dataset.