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README.md typo correction (#3147)

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nithin varghese 2020-08-25 14:52:58 +05:30 committed by GitHub
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@ -112,7 +112,7 @@ Get started with our [3 steps guide](https://pytorch-lightning.readthedocs.io/en
* Less error prone by automating most of the training loop and tricky engineering
* Keeps all the flexibility (LightningModules are still PyTorch modules), but removes a ton of boilerplate
* Lightning has out-of-the-box integration with the popular logging/visualizing frameworks ([Tensorboard](https://pytorch.org/docs/stable/tensorboard.html), [MLFlow](https://mlflow.org/), [Neptune.ai](https://neptune.ai/), [Comet.ml](https://www.comet.ml/site/), [Wandb](https://www.wandb.com/)).
* [Tested rigorously with every new PR](https://github.com/PyTorchLightning/pytorch-lightning/tree/master/tests). We test every combination og PyTorch and Python supported versions, every OS, multi GPUs and even TPUs.
* [Tested rigorously with every new PR](https://github.com/PyTorchLightning/pytorch-lightning/tree/master/tests). We test every combination of PyTorch and Python supported versions, every OS, multi GPUs and even TPUs.
* Minimal running speed overhead (about 300 ms per epoch compared with pure PyTorch).
### Lightning automates 40+ parts of DL/ML research