Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
☆866Mar 30, 2026Updated 2 months ago
Alternatives and similar repositories for deeptime
Users that are interested in deeptime are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🚂 Python API for Emma's Markov Model Algorithms 🚂☆339Sep 11, 2023Updated 2 years ago
- Python Dynamic Mode Decomposition☆1,231Dec 19, 2025Updated 5 months ago
- How to analyze molecular dynamics data with PyEMMA☆87May 29, 2019Updated 7 years ago
- Deep learning meets molecular dynamics.☆190May 3, 2019Updated 7 years ago
- A package for computing data-driven approximations to the Koopman operator.☆432Jan 22, 2026Updated 4 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A package for the sparse identification of nonlinear dynamical systems from data☆1,842Updated this week
- ☆19Oct 19, 2020Updated 5 years ago
- ☆10Mar 31, 2023Updated 3 years ago
- Helper function for Markov State Models☆11Jun 25, 2024Updated last year
- Extending state-of-the-art Time Series Forecasting with Subsequence Time Series (STS) Clustering to enforce model seasonality adaptation.☆20Oct 19, 2022Updated 3 years ago
- PySINDy GUI☆48Apr 15, 2023Updated 3 years ago
- The machine learning toolkit for time series analysis in Python☆3,155Updated this week
- Boltzmann Generators and Normalizing Flows in PyTorch☆198Jan 30, 2024Updated 2 years ago
- Get access to our MD data files.☆33Nov 22, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A unified framework for machine learning with time series☆9,798Jun 7, 2026Updated last week
- Winter is coming...☆14Jan 23, 2019Updated 7 years ago
- An open library for the analysis of molecular dynamics trajectories☆716Jun 3, 2026Updated last week
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆28Feb 17, 2026Updated 3 months ago
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,421Updated this week
- ☆387Oct 15, 2021Updated 4 years ago
- Linear and non-linear spectral forecasting algorithms☆138Feb 12, 2021Updated 5 years ago
- ☆25Feb 28, 2023Updated 3 years ago
- Modeling molecular ensembles with scalable data structures and parallel computing☆37Mar 11, 2026Updated 3 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,074Updated this week
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆189May 1, 2022Updated 4 years ago
- An open source Python framework for transition interface and path sampling calculations.☆116Jun 6, 2026Updated last week
- Tutorials of few enhanced sampling methods along with bash script to run the method in a single shot..☆48Feb 11, 2021Updated 5 years ago
- A python framework to run adaptive Markov state model (MSM) simulation on HPC resources☆17Aug 1, 2025Updated 10 months ago
- PENSA - a collection of python methods for exploratory analysis and comparison of biomolecular conformational ensembles.☆149Feb 12, 2025Updated last year
- ☆15Apr 7, 2022Updated 4 years ago
- Development version of plumed 2☆500Updated this week
- ☆29Jun 7, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Basis sets, estimators and solvers for the variational approach of conformation dynamics. NOTE: the code has been merged with PyEMMA and …☆10Dec 8, 2016Updated 9 years ago
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆364May 1, 2025Updated last year
- ☆32Feb 24, 2022Updated 4 years ago
- neural networks to learn Koopman eigenfunctions☆482Mar 22, 2024Updated 2 years ago
- An intuitive library to extract features from time series.☆1,095Jan 30, 2026Updated 4 months ago
- IPython API to visualize MD-trajectories along projected trajectories inside a Jupyter notebook☆44Feb 14, 2019Updated 7 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆37Jan 22, 2022Updated 4 years ago