[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation

A Python library for the fast symbolic approximation of time series

Self-supervised pre-training for ECG representation with inspiration from transformers & computer vision

[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction

SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations

SoftPrompt-IR is a low-level symbolic annotation layer for LLM prompts, making intent strength, direction, and priority explicit. It is not a DSL or framework, but a minimal, composable way to reduce ambiguity, improve safety, and structure prompts.

Time series analysis with LLM-ABBA: A symbolic approach

The project focuses on automatic music generation. It was done during Bachelor Thesis at VGU in 2023.

MSAX - Symbolic Aggregate Approximation For Multivariate Time Series

📡🧬 sig2dna: Symbolic transformation of analytical signals into a DNA-like code for signal alignment and classification, blind source separation, pattern recognition, and more.

RED CoMETS: an ensemble classifier for symbolically represented multivariate time series

sig2dna transforms complex 1D analytical signals into DNA-like symbolic sequences, enabling efficient alignment and classification. This Python module supports various analytical techniques and is ideal for identifying substances in recycled materials. 🐙✨