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A lightweight Pythonic data model for time series data, interoperable with NumPy, Pandas and Polars.
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
Matplotlib styles for scientific plotting
PyTorch Implementation on Paper [ICLR2026]: Foundation Models for Causal Inference via Prior-Data Fitted Networks
Physics-Informed Neural networks for Advanced modeling
An open-source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
The first open-source Model Context Protocol server enabling AI assistants and applications to interact programmatically with EnergyPlus building energy simulation.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
Archived early design artefacts from pre–Market Facilitator go-live activity at Elexon.
A unified framework for Deep Learning Models on tabular data
TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a sing…
VeraGrid, a cross-platform power systems software written in Python with user interface, used in academia and industry.
With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization
Github repo for my thesis project DIFFUSION MODELS FOR ENERGY TIME SERIES GENERATION
Simple and easily configurable grid world environments for reinforcement learning
🪄 Create rich visualizations with AI
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Official code repo for the MARL book (www.marl-book.com)
Reinforcement learning for energy systems
An extremely fast Python package and project manager, written in Rust.