brentyi / jaxlsLinks
Sparse nonlinear least squares in JAX
☆243Updated last month
Alternatives and similar repositories for jaxls
Users that are interested in jaxls are comparing it to the libraries listed below
Sorting:
- Rigid transforms + Lie groups for JAX☆298Updated 5 months ago
- Bayesian filters in PyTorch☆157Updated 2 years ago
- Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024☆254Updated 3 months ago
- Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras☆31Updated 3 weeks ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆188Updated last year
- 3D Gaussian Splatting in JAX☆64Updated last year
- Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch☆355Updated 6 months ago
- Pytrees + dataclasses ❤️☆67Updated 5 months ago
- Direct solver for sparse SPD matrices for nonlinear optimization. Implements supernodal Cholesky decomposition algorithm, and supports GP…☆93Updated 3 weeks ago
- ☆224Updated 2 years ago
- Differentiable Factor Graph Optimization @ IROS 2021☆94Updated 2 years ago
- The analysis and implementation of SO3 log map, and its jacobians. The special focus on edge cases (angle close to 0 or \pi).☆28Updated last year
- Pure static Lie groups in Numpy, Pytorch, Jax, and C++☆36Updated last month
- Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrende…☆75Updated last year
- Repository containing the code for Implicit Manifold Gaussian Process.☆15Updated last year
- ☆801Updated 5 months ago
- Volumetric structures such as voxels and SDFs implemented in pytorch☆173Updated last month
- Scalable Differentiable Physics for Learning and Control (ICML2020)☆181Updated last year
- Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)☆35Updated last year
- RoMa: A lightweight library to deal with 3D rotations in PyTorch.☆604Updated 2 months ago
- Python interface to Dojo☆68Updated 2 years ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆235Updated 3 years ago
- Real-time Neural Signed Distance Fields for Robot Perception☆444Updated 2 years ago
- A differentiable physics engine and multibody dynamics library for control and robot learning.☆159Updated this week
- JAX port of Persistent Independent Particles☆37Updated 2 years ago
- LaTeX sources of the technical report "A tutorial on SE(3) transformation parameterizations and on-manifold optimization"☆190Updated 3 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- ☆32Updated 3 years ago
- Solver for Large-Scale Rank-One Semidefinite Relaxations☆70Updated 3 years ago
- Riemannian geometry in JAX☆14Updated 4 months ago