Stars
The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https://github.com/flyteorg/flyte-sdk
A Library for Dynamic Graph Learning (NeurIPS 2023)
Hydra is a framework for elegantly configuring complex applications
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Mamba for Multivariate Time Series Forecasting
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
A Python Library for Machine Learning in Epidemic Data Modeling and Analysis
tsl: a PyTorch library for processing spatiotemporal data.
Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731
Companion code for research paper: “It’s complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US”.
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Must-read papers on graph neural networks (GNN)
Analytical Interview Handbook
Resources associated with data science practice book: hints to quiz, and sample code and datasets