APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easi…
☆43Nov 12, 2025Updated 5 months ago
Alternatives and similar repositories for APDTFlow
Users that are interested in APDTFlow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆13Jul 2, 2024Updated last year
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆24Feb 18, 2025Updated last year
- Bayesian structural time series in python☆13Mar 17, 2022Updated 4 years ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Apr 1, 2026Updated 2 weeks ago
- Integrated tool for model development and validation☆34Nov 7, 2025Updated 5 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.
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆25Feb 20, 2026Updated last month
- ☆18Apr 7, 2025Updated last year
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated 10 months ago
- Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection☆17Aug 11, 2025Updated 8 months ago
- A framework for calibration measurement of binary probabilistic models☆29May 2, 2024Updated last year
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Mar 1, 2023Updated 3 years ago
- Calibrated Random Forests☆40May 10, 2020Updated 5 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Mar 30, 2026Updated 2 weeks ago
- Code release for DeepEDM (ICML 2025)☆29Jan 20, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆58May 17, 2025Updated 11 months ago
- WarpGBM: High-Speed Gradient Boosting☆96Nov 21, 2025Updated 4 months ago
- Toolkit to forge scikit-learn compatible estimators☆19Apr 1, 2026Updated 2 weeks ago
- Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with…☆220Updated this week
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated 2 years ago
- ☆26Jan 9, 2026Updated 3 months ago
- Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algor…☆21Jan 6, 2026Updated 3 months ago
- pivottablejs for air-gapped systems☆13Aug 14, 2024Updated last year
- Forecasting with Hyper-Trees☆20Aug 8, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A mixture density network, by PyTorch, for scikit-learn☆25Feb 27, 2026Updated last month
- Demo configuration files and strategy code for QuantRocket☆13May 22, 2020Updated 5 years ago
- ☆16Jan 16, 2025Updated last year
- ☆32Jan 28, 2025Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆197Mar 8, 2026Updated last month
- ☆20Nov 26, 2024Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated last year
- A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles☆12Aug 30, 2023Updated 2 years ago
- Package for pooling the results from (dependent) tests☆12Dec 1, 2025Updated 4 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Package for Time Series Forecasting and Anomaly Detection Problems.☆57May 20, 2024Updated last year
- Implementation of Hindsight Differentiable Policy Optimization, as described in the paper Deep Reinforcement Learning for Inventory Netwo…☆20Nov 19, 2025Updated 4 months ago
- ☆10Jul 5, 2023Updated 2 years ago
- Inferencing 'PatchTST' and 'Informer' to harness the power of transformers for multivariate 'long sequence time-series forecasting' (LSTF…☆19Nov 9, 2023Updated 2 years ago
- MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z…☆32Oct 4, 2019Updated 6 years ago
- 🐝 Tiny CLI to post simultaneously to Mastodon and Bluesky☆17Apr 3, 2026Updated last week
- Deploying a simple FastAPI app to Fly.io >> https://fly-fastapi.fly.dev/docs <<☆14Oct 2, 2023Updated 2 years ago