Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
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Updated
Oct 27, 2025 - Python
Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
A Python library for efficient feature ranking and selection on sparse data sets.
A simplistic and efficient pure-python neural network library from Phys Whiz.
A customized sparse solver wrapper with Numba compatibility
A small sample of a volumetric Lagrangian Coherent Structure code for GPUs and CPUs leveraging Numba.
A near-zero overhead AVL Tree for Python that bypasses object-heavy limits using JIT compilation and manual memory management.
Building upon original repo, trying to implement encoder-decoder transformer using CUDA
This is a tutorial about Numba-CUDA
An actual minecraft clone in Python!
Simulation of plant growth in 2D. Accelerated with Numba
Materials for ARC's cluster club session on accelerating scientific python codes
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 direct N-body code in Python + Numba to simulate galaxy mergers with ~2×10⁵ particles
Python project which is used single thread, multi thread with Numba jit compiler.
A 2D Fractal Generator
This is the code for my Internal Assessment in IB Math AA HL.
Modern Portfolio Theory (MPT) and Monte Carlo simulations to optimize and backtest a portfolio of various financial assets
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.
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/.
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