However, if the individuality is too strong, it can be difficult to share with other people or reuse it between competitions (ex. Oreore Trainer, which is often ...
10.06.2020 · Lightning vs Ignite distributed distributed-rpc Aldebaran(Celso França) June 10, 2020, 10:59pm #1 Currently, we have Lightningand Igniteas a high-level library to help with training neural networks in PyTorch. Which of them is easier to train in a multi GPU environment? sree_harsha(Sree Harsha Nelaturu)
03.12.2021 · Ignite is another high-level library made on top of PyTorch. It helps with neural network training. Like Lightning, it was also created for researchers. It requires less coding from pure PyTorch, which adds flexibility and simplicity to the interface. Why Ignite?
05.08.2019 · Both Lightning and Ignite have very simple interfaces, as most of the work is still done in pure PyTorch by the user. The main work happens inside the Engine and Trainer objects respectively. Fast.ai however, does require learning another library on top of PyTorch.
Pytorch Lightning vs PyTorch Ignite vs Fast.ai William Falcon Apparently a lion, bear, and tiger are friends PyTorch-lightning is a recently released library which is a Kera-like ML library for PyTorch. It leaves core training and validation logic to you and automates the rest. (BTW, by Keras I mean no boilerplate, not overly-simplified).
To learn more about the advantages of Lightning you should check out William Falcon 's post on the subject. Pytorch Lightning vs PyTorch Ignite vs Fast.ai.
ghosthamlet on Aug 6, 2019 | parent | context | favorite | on: Rapid research framework for PyTorch, The research... See Pytorch Lightning vs PyTorch Ignite vs ...