Gulio357
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A Python based implementation for fast convex decomposition of obstacle-free spaces.
Seamless operability between C++11 and Python
Optimization-Based Collision Avoidance - a path planner for autonomous navigation
Implementation of the Learning Model Predictive Controller for autonomous racing
The repository provides code associated with the paper VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation (ICRA 2024)
Source code for 200+ books, kept here for quick reference
A differentiable PDE solving framework for machine learning
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
Isaac Gym Reinforcement Learning Environments
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Robotics Toolbox for Python
[IROS 2023] Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization
Differentiable Finite Element Method with JAX
Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
A trajectory optimization library for Matlab
Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
Library with search algorithms for task and path planning for multi robot/agent systems
llama3 implementation one matrix multiplication at a time
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.
COLMAP - Structure-from-Motion and Multi-View Stereo