stanford-iprl-lab / torchfilterLinks
Bayesian filters in PyTorch
☆153Updated 2 years ago
Alternatives and similar repositories for torchfilter
Users that are interested in torchfilter are comparing it to the libraries listed below
Sorting:
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated last year
- Sparse nonlinear least squares in JAX☆208Updated last week
- tensorflow code for differentiable filtering☆29Updated 3 years ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆186Updated 8 months ago
- Rigid transforms + Lie groups for JAX☆268Updated last month
- Particle Filter Network (PF-net)☆86Updated 6 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆77Updated 10 months ago
- Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)☆35Updated 11 months ago
- Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021☆88Updated 2 years ago
- ☆26Updated 3 years ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆232Updated 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).☆25Updated last year
- Certifiable Outlier-Robust Geometric Perception☆117Updated last year
- The Differentiable Cross-Entropy Method☆126Updated 4 years ago
- ☆213Updated last year
- Codebase for paper "Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters", IROS 2023☆45Updated last year
- LaTeX template for a CMU Robotics Institute Thesis☆30Updated 7 years ago
- ☆768Updated 3 weeks ago
- Mapping spatiotemporal patterns in an online and continuous fashion☆104Updated last year
- Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch☆349Updated 2 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- ☆28Updated 3 years ago
- Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras☆28Updated 5 months ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 7 months ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- Pure static Lie groups in Numpy, Pytorch, Jax, and C++☆30Updated 8 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Code release for our paper, "SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo"☆78Updated 3 years ago