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Using deep learning to generate music in MIDI format.
[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Generate MIDI files from time series data. You can control can control what octaves and octave ranges you want.
Calendar heatmaps from Pandas time series data.
Turn (almost) any Python command line program into a full GUI application with one line
A python library for user-friendly forecasting and anomaly detection on time series.
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
🤖 A Python library for learning and evaluating knowledge graph embeddings
[ACL 2020] Towards Debiasing Sentence Representations
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Node Embeddings in Dynamic Graphs
The STINGER in-memory graph store and dynamic graph analysis platform. Millions to billions of vertices and edges at thousands to millions of updates per second.