Alternatives and similar repositories for differentiable-particle-filters:

Users that are interested in differentiable-particle-filters are comparing it to the libraries listed below

• AdaCompNUS / pfnet
  Particle Filter Network (PF-net)
  ☆86Updated 6 years ago
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆152Updated last year
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆76Updated 8 months ago
• akloss / differentiable_filters
  tensorflow code for differentiable filtering
  ☆29Updated 3 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 6 years ago
• Jgmorton / vbf
  Implementation of Deep Variational Bayes Filter
  ☆12Updated 5 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆81Updated 2 years ago
• AdaCompNUS / qmdp-net
  QMDP-Net implementation
  ☆65Updated 4 years ago
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆186Updated 7 months ago
• befelix / SafeOpt
  Safe Bayesian Optimization
  ☆146Updated 2 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆69Updated 3 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆42Updated 2 years ago
• RansML / Bayesian_Hilbert_Maps
  Mapping spatiotemporal patterns in an online and continuous fashion
  ☆104Updated last year
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆64Updated 2 years ago
• AndreaCensi / geometry
  Library for handling various differentiable manifolds.
  ☆53Updated 4 months ago
• LCAS / RKN
  ☆47Updated 2 years ago
• johnhw / pfilter
  Basic Python particle filter
  ☆176Updated 2 years ago
• mblum / libgp
  Gaussian process library for machine learning
  ☆115Updated 8 years ago
• uzh-rpg / deep_uncertainty_estimation
  This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…
  ☆131Updated 8 months ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆60Updated 4 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆38Updated 4 years ago
• montrealrobotics / dal
  Repository for Deep Active Localization research and benchmarks
  ☆35Updated 4 years ago
• brentyi / jaxls
  Sparse nonlinear least squares in JAX
  ☆190Updated last week
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 6 years ago
• resibots / blackdrops
  Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
  ☆65Updated 3 years ago
• ChristophJud / GPR
  Basic Gaussian process regression library. (Eigen3 required)
  ☆25Updated 9 years ago
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• david-m-rosen / Optimization
  A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex sp…
  ☆103Updated last year