-
Comillas-ICAI | ETH Zurich | MIT
- https://jtorde.github.io/
Stars
Implementation of Radiance Fields for Robotic Teleoperation
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Automatically generate all constraint matrices for (lifted) QCQP problems.
Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoot…
UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
Infinite Photorealistic Worlds using Procedural Generation
A Python library for creating and simulating large-scale brain models
Fast symbolic computation, code generation, and nonlinear optimization for robotics
A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT AERA group.
Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"
NVIDIA-accelerated 3D scene reconstruction and Nav2 local costmap provider using nvblox
Educational Python library for manipulator motion planning
A next-gen SQP & barrier solver for nonlinearly constrained optimization
A Python based implementation for fast convex decomposition of obstacle-free spaces.
Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.
Clean PyTorch implementations of imitation and reward learning algorithms
📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
A Git-based CMS for Static Site Generators
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary ord…
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
Unified framework for robot learning built on NVIDIA Isaac Sim
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…