Stars
[ICLR 2026] Aurora: Towards Universal Generative Multimodal Time Series Forecasting
A platform for accessing and sharing Water Distribution Network benchmarks and data sets
A time-series database for high-performance real-time analytics packaged as a Postgres extension
Water-Futures Team implementation of the Battle of the Water Demand Forecasting
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
An open-source, opinionated time-series database built on PostgreSQL & ClickHouse.
Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.
Automatic extraction of relevant features from time series:
Declarative schema migrations with schema-as-code workflows
A database migrations tool for SQLAlchemy.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Light, flexible and extensible ASGI framework | Built to scale
framework for developing machine (and deep) learning models for structured data
Open Energy Modelling Framework - Python toolbox for energy system modelling and optimisation
Chronos: Pretrained Models for Time Series Forecasting
Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
Scalable and user friendly neural 🧠 forecasting algorithms.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
⚡ Open-source Python framework for modelling sequential decision problems in the energy sector