Gradient Based Optimization
Showing 5 of 5 projects
A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.
A lightweight gradient-based local planner for quadrotors that eliminates ESDF construction, achieving planning times around 1ms.
A library for nonlinear optimization, providing a unified interface to multiple local and global optimization algorithms.
Hardware-accelerated, batchable, and differentiable optimization algorithms implemented in JAX for machine learning research.
An open-source high-performance computing platform for systems analysis and multidisciplinary optimization, written in Python.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.