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.
- 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).