TorchDyn reference documentation¶
(New release 0.2.0 is finally out!)
End-to-end Pytorch suite for continuous neural architectures featuring several models, training methods and visualization tools for research, industry and amateurs.
git clone https://github.com/DiffEqML/torchdyn.git
cd torchdyn
python setup.py install
Please visit our GitHub page.
Note
- This library is developed and maintained by Michael Poli & Stefano Massaroli.
- The work has been supported by Prof. Jinkyoo Park (KAIST), Prof. Atsushi Yamashita (The University of Tokyo) and Prof. Hajime Asama (The University of Tokyo).
Basic Tutorials
Advanced Tutorials
Generative Models
Energy-Based Models
Graph Models
API documentation
Notes