Starred repositories
Context parroting and time series foundation models for zero-shot forecasting of dynamical systems
The Riemannian Causal Embedding (RiCE) algorithm for discovering networks from time series
Python package for styling plots according to Arcadia's style guide
Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time series data.
DNS-Blocklists: For a better internet - keep the internet clean!
Python 3.8+ toolbox for submitting jobs to Slurm
Benchmark harness and baseline results for the NeuroBench algorithm track.
Final Project for computational physics.
Final Project for the Computational Physics course at UT Austin
Simulate Anderson localization and tight binding on graphs.
Reconstructing shared causal drivers from noisy time series
This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a …
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
An Echo State Network module for PyTorch.
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Implement Q learning algorithms based on the Grover algorithm
Algorithmically create or extend categorical colour palettes
A Python framework for accelerated simulation, data generation and spatial computing.
[Archived] Stops Adobe's pesky background apps and more 😉
GeneNetWeaver (GNW) is an intuitive Java application developed for the generation of in silico benchmarks and the identification of systematic errors of network inference algorithms.
Teaching materials for the applied machine learning course at Cornell Tech (online edition)