Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
☆33Dec 2, 2019Updated 6 years ago
Alternatives and similar repositories for stable_dynamics
Users that are interested in stable_dynamics are comparing it to the libraries listed below
Sorting:
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆26Dec 8, 2020Updated 5 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆17May 1, 2020Updated 5 years ago
- ☆15Updated this week
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Jun 20, 2023Updated 2 years ago
- ☆13Mar 14, 2024Updated last year
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆85Mar 28, 2019Updated 6 years ago
- ☆15Jan 21, 2021Updated 5 years ago
- Gradient descent algorithms for LQG control☆14Feb 20, 2022Updated 4 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆144May 3, 2021Updated 4 years ago
- Stable dynamical system (motion policy) learning using Euclideanizing flows☆16Nov 13, 2020Updated 5 years ago
- Fast-Slow Recurrent Neural Networks☆14Jan 31, 2018Updated 8 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Jul 23, 2022Updated 3 years ago
- Boundary analysis based Reachability analysis Toolbox for dynamic systems in Python☆19Jan 16, 2026Updated last month
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Mar 4, 2022Updated 3 years ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Aug 2, 2019Updated 6 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆21Sep 2, 2021Updated 4 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Nov 29, 2021Updated 4 years ago
- ☆27Jan 21, 2025Updated last year
- ☆24Jan 30, 2020Updated 6 years ago
- GLIS package☆32Mar 3, 2023Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 3 years ago
- Code needed to replicate the examples from "Learning Hybrid Control Barrier Functions from Data" by L. Lindemann et al., to appear at CoR…☆24Aug 12, 2023Updated 2 years ago
- A Cross-Domain Data Hub with Electricity Market, Coronavirus Case, Mobility and Satellite Data in U.S.☆60Apr 23, 2024Updated last year
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆175Jun 2, 2025Updated 8 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Feb 20, 2020Updated 6 years ago
- Symbolic Modelling of Highway Traffic Networks with METANET☆11May 27, 2025Updated 9 months ago
- ☆31Nov 26, 2022Updated 3 years ago
- EN.560.454.01.SP25 Introduction to Machine Learning and Control for Building Energy Systems Civil and Systems Engineering Department at J…☆60Oct 1, 2025Updated 4 months ago
- An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)☆135Apr 8, 2022Updated 3 years ago
- IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks☆32Oct 24, 2025Updated 4 months ago
- Input Convex Neural Networks☆312Mar 20, 2019Updated 6 years ago
- Reachability Analysis of Deep Neural Networks with Provable Guarantees☆36Feb 25, 2020Updated 6 years ago
- QuESt Planning is a long-term power system capacity expansion planning model that identifies cost-optimal energy storage, generation, and…☆14Feb 4, 2026Updated 3 weeks ago
- ☆19Nov 20, 2025Updated 3 months ago
- Implementation of the CVPR2025 paper LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty.☆17Sep 10, 2025Updated 5 months ago
- Code release for "Stochastic Optimal Control Matching"☆39Aug 14, 2024Updated last year
- Code for reversible recurrent neural networks☆40Jan 20, 2019Updated 7 years ago
- HELMpy, open source package of power flow solvers, including the Holomorphic Embedding Load Flow Method (HELM), developed on Python 3☆44Jun 7, 2023Updated 2 years ago
- Sliding Window Inference for Network Generation☆10Feb 14, 2018Updated 8 years ago