Projects in Awesome Lists tagged with continuous-time
A curated list of projects in awesome lists tagged with continuous-time .
https://github.com/kevin2431/Traj-LO
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
continuous-time lidar-only lidar-slam robotics
Last synced: 18 Mar 2025
https://github.com/koide3/gtsam_points
A collection of GTSAM factors and optimizers for point cloud SLAM
bundle-adjustment continuous-time cuda factor-graph gpu gtsam kdtree localization mapping point-cloud registration slam voxelmap
Last synced: 12 Apr 2025
https://github.com/rpng/cpi
Closed-form Preintegration for Graph-based Visual-Inertial Navigation
continuous-time preintegration visual-inertial-odometry
Last synced: 03 Apr 2025
https://github.com/clear-nus/NCDSSM
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
continuous-time forecasting icml-2023 imputation kalman-filter state-space-model time-series
Last synced: 20 Mar 2025
https://github.com/ma-laforge/cmdimcircuits.jl
Parametric analysis/visualization of model/measurement/simulation results
analog-design bode-plot circuit-analysis continuous-time eda eye-diagrams frequency-domain network-analysis parametric-analysis psf-data pvt-sweeps scientific-computing signal-processing smith-chart spice-data visualization
Last synced: 08 Mar 2026
https://github.com/adolgert/competingclocks.jl
Simplest simulation to use non-Exponential transitions
continuous-time discrete-event-systems generalized-semi-markov-processes gillespie-algorithm next-reaction-method stochastic-simulation
Last synced: 19 Feb 2026
https://github.com/simsurace/stochasticfilters.jl
A Julia package that provides high-level abstractions for simulating and deploying stochastic filters
bayesian-filtering bayesian-inference continuous-time discrete-time filtering filtering-algorithm hidden-markov-model kalman-filter particle-filter state-space-model stochastic-processes
Last synced: 18 Mar 2026
https://github.com/modypy/modypy
A framework for hierarchical modelling, simulation and analysis of dynamic systems
analysis block-diagram continuous-time discrete-time dynamical-systems events linear-systems python simulation simulation-framework simulation-modeling
Last synced: 14 Jan 2026
https://github.com/jeksterslab/manctmed
Research compendium for the manuscript Pesigan, I. J. A., Russell, M. A., & Chow, S.-M. (2025). Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models. Psychological Methods.
continuous-time ctmed delta-method effect-size mediation monte-carlo-method parametric-bootstrap r-package regions-of-significance
Last synced: 19 Jan 2026
https://github.com/choisy/discrete_time
Exploring relationships between discrete and continuous time models
Last synced: 23 Feb 2026
https://github.com/chirindaopensource/continuous_time_rl_for_alm
End-to-end Python implementation of Huang's (2025) continuous-time RL methodology for asset-liability management. Features model-free soft actor-critic with adaptive exploration, entropy regularization, and Euler-Maruyama SDE simulation. Includes 7 baselines (SAC/PPO/DDPG/CPPI/ACS/MBP), parallelized execution, and Wilcoxon statistical validation.
actor-critic algorithmic-trading asset-liability-management continuous-time deep-reinforcement-learning entropy-regularization financial-engineering gymnasium numerical-methods optimal-control policy-gradient portfolio-optimization python pytorch quantitative-finance reinforcement-learning risk-management soft-actor-critic stochastic-control stochastic-differential-equations
Last synced: 08 May 2026
https://github.com/jeksterslab/ctmed
Calculates standard errors and confidence intervals for effects in continuous-time mediation models.
centrality continuous-time delta-method mediation monte-carlo-method network r r-package
Last synced: 01 Apr 2025
https://github.com/yasin-is-9-year-old/continuous_time_rl_for_alm
🤖 Leverage continuous-time reinforcement learning to optimize asset-liability management and enhance financial decision-making.
algorithmic-trading asset-liability-management continuous-time deep-reinforcement-learning entropy-regularization gymnasium numerical-methods optimal-control policy-gradient portfolio-optimization python pytorch quantitative-finance reinforcement-learning risk-management soft-actor-critic stochastic-control stochastic-differential-equations
Last synced: 04 May 2026