ignite
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pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Dear PyTorch team, I have developed a custom event handler that would make ignite code (more specifically: MONAI code) accessible to hyperparamer tuning jobs in GCP Vertex AI. It is...
## ❓ Questions/Help/Support I am new to the ignite library, and am trying to run multi-GPU (single node) training that is configured in [this repo](https://github.com/Brummi/BehindTheScenes), and here is [**the specific...
Fixes #1917 (uses #2315) Description: Added check for minimum version of PyTorch for import. Now need to add tests for the Profiler Check list: - [ ] New tests are...
Fixes #{issue number} Description: Check list: - [ ] New tests are added (if a new feature is added) - [ ] New doc strings: description and/or example code are...
Fixes #2878 Description: Adds unit test for Siamese Network example, updated README and minor changes Check list: - [x] New tests are added (if a new feature is added) -...
## ❓ Questions/Help/Support My customized loss requires two pairs of input: ```python class MyLoss(nn.Module): def __init__(self, ca: float = 1.0, cb: float = 1.0) -> None: super().__init__() self.ca = ca...
This is useful for setups where distributed training is used, but evaluation is only performed on a single node (or independently over multiple nodes). Description: In some setups one may...
Fixes #1992 Description: Update engine.py to resolve #1992 Check list: - [ ] New tests are added (if a new feature is added) - [ ] New doc strings: description...
Description: - Auto dataloader enable persistent workers Check list: - [x] New tests are added (if a new feature is added) - [ ] New doc strings: description and/or example...
## 🚀 Feature https://scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html#sklearn.metrics.balanced_accuracy_score https://scikit-learn.org/stable/modules/model_evaluation.html#balanced-accuracy-score