deeptime-ml / deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
☆763Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for deeptime
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆224Updated 2 years ago
- Python Dynamic Mode Decomposition☆890Updated 2 weeks ago
- An intuitive library to extract features from time series.☆938Updated last month
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆725Updated last year
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆595Updated 3 months ago
- Probabilistic Numerics in Python.☆439Updated 6 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,445Updated this week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,399Updated 6 months ago
- A python library for time-series smoothing and outlier detection in a vectorized way.☆742Updated 11 months ago
- State Space Models library in JAX☆695Updated last week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆425Updated 2 months ago
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆886Updated last month
- A Bayesian optimization toolbox built on TensorFlow☆226Updated 2 weeks ago
- A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.☆362Updated 11 months ago
- Gaussian Processes for Experimental Sciences☆212Updated last month
- More than a hundred strange attractors☆420Updated this week
- Probabilistic Inference on Noisy Time Series☆228Updated 3 months ago
- Functional Data Analysis Python package☆306Updated 3 weeks ago
- Gaussian processes in JAX.☆461Updated 2 weeks ago
- Experimental design and (multi-objective) bayesian optimization.☆230Updated this week
- ☆338Updated 3 years ago
- Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facil…☆708Updated last year
- Chaospy - Toolbox for performing uncertainty quantification.☆444Updated this week
- A Python package for time series classification☆1,773Updated last year
- Simulation-based inference toolkit☆591Updated last week
- catch22: CAnonical Time-series CHaracteristics☆365Updated this week
- Flexible time series feature extraction & processing☆402Updated 2 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,455Updated last week
- Gaussian processes in TensorFlow☆1,849Updated this week
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆627Updated 2 years ago