brentyi / jaxlsLinks
Sparse nonlinear least squares in JAX
☆262Updated last week
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☆315Updated 8 months ago
- Bayesian filters in PyTorch☆164Updated 2 years ago
- Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024☆257Updated 2 weeks ago
- Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras☆32Updated 3 months ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆189Updated last year
- Pure static Lie groups in Numpy, Pytorch, Jax, and C++☆40Updated 3 months ago
- Differentiable Factor Graph Optimization @ IROS 2021☆94Updated 2 years ago
- 3D Gaussian Splatting in JAX☆68Updated last year
- The analysis and implementation of SO3 log map, and its jacobians. The special focus on edge cases (angle close to 0 or \pi).☆29Updated 2 years ago
- Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch☆358Updated 8 months ago
- Direct solver for sparse SPD matrices for nonlinear optimization. Implements supernodal Cholesky decomposition algorithm, and supports GP…☆97Updated 2 months ago
- Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)☆35Updated last year
- ☆230Updated 2 years ago
- Pytrees + dataclasses ❤️☆70Updated last week
- Real-time Neural Signed Distance Fields for Robot Perception☆445Updated 2 years ago
- ☆32Updated 4 years ago
- A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex sp…☆112Updated 2 years ago
- Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrende…☆80Updated 2 years ago
- Volumetric structures such as voxels and SDFs implemented in pytorch☆180Updated 2 months ago
- ☆813Updated 7 months ago
- Python interface to Dojo☆69Updated 3 years ago
- RoMa: A lightweight library to deal with 3D rotations in PyTorch.☆622Updated 5 months ago
- A differentiable physics engine and multibody dynamics library for control and robot learning.☆166Updated last week
- Fast Fourier transform on SO(3)☆29Updated 4 years ago
- LaTeX sources of the technical report "A tutorial on SE(3) transformation parameterizations and on-manifold optimization"☆192Updated 3 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆189Updated 2 years ago
- Solver for Large-Scale Rank-One Semidefinite Relaxations☆72Updated 3 years ago
- tensorflow code for differentiable filtering☆34Updated 4 years ago
- PyTinyRenderer is a simple C++/CPU renderer, this fork adds Python bindings and triangle clipping and OpenGL compatible view/projection m…☆24Updated last year