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tweak readme examples table
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janosh committed Aug 18, 2022
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Expand Up @@ -12,11 +12,11 @@ Compute statistics (`mean`, `std`, `min`, `max`, `median` or any other [`numpy`

## Example notebooks

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| -------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Basic Python API Demo** | <a href="https://mybinder.org/v2/gh/janosh/tensorboard-reducer/main?labpath=examples%2Fbasic_python_api_example.ipynb"><img src="https://mybinder.org/badge_logo.svg" valign="middle" style="mind-width: 80px;" alt="Binder"></a> | [View on GitHub](https://github.com/janosh/tensorboard-reducer/blob/main/examples/basic_python_api_example.ipynb) | Demonstrates how to work with local TensorBoard event files. |
| **Functorch MLP Ensemble** | <a href="https://mybinder.org/v2/gh/janosh/tensorboard-reducer/main?labpath=examples%2Ffunctorch_mlp_ensemble.ipynb"><img src="https://mybinder.org/badge_logo.svg" valign="middle" style="mind-width: 80px;" alt="Binder"></a> | [View on GitHub](https://github.com/janosh/tensorboard-reducer/blob/main/examples/functorch_mlp_ensemble.ipynb) | Shows how to aggregate run metrics with TensorBoard Reducer when training model ensembles using `functorch`. |
| **Weights & Biases Integration** | <a href="https://mybinder.org/v2/gh/janosh/tensorboard-reducer/main?labpath=examples%2Fwandb_integration.ipynb"><img src="https://mybinder.org/badge_logo.svg" valign="middle" style="mind-width: 80px;" alt="Binder"></a> | [View on GitHub](https://github.com/janosh/tensorboard-reducer/blob/main/examples/wandb_integration.ipynb) | Trains PyTorch CNN ensemble on MNIST, logs results to W&B, downloads metrics from multiple wandb runs, aggregates using `tb-reducer`, then re-uploads to WandB as new runs. |
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| -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Basic Python API Demo** | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/janosh/tensorboard-reducer/main?labpath=examples%2Fbasic_python_api_example.ipynb) <br>[View on GitHub](https://github.com/janosh/tensorboard-reducer/blob/main/examples/basic_python_api_example.ipynb) | Demonstrates how to work with local TensorBoard event files. |
| **Functorch MLP Ensemble** | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/janosh/tensorboard-reducer/main?labpath=examples%2Ffunctorch_mlp_ensemble.ipynb) <br> [View on GitHub](https://github.com/janosh/tensorboard-reducer/blob/main/examples/functorch_mlp_ensemble.ipynb) | Shows how to aggregate run metrics with TensorBoard Reducer when training model ensembles using `functorch`. |
| **Weights & Biases Integration** | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/janosh/tensorboard-reducer/main?labpath=examples%2Fwandb_integration.ipynb) <br> [View on GitHub](https://github.com/janosh/tensorboard-reducer/blob/main/examples/wandb_integration.ipynb) | Trains PyTorch CNN ensemble on MNIST, logs results to [WandB](https://wandb.ai), downloads metrics from multiple WandB runs, aggregates using `tb-reducer`, then re-uploads to WandB as new runs. |

_The mean of 3 runs shown in pink here is less noisy and better suited for comparisons between models or different training techniques than individual runs._
![Mean of 3 TensorBoard logs](https://raw.githubusercontent.com/janosh/tensorboard-reducer/main/assets/3-runs-mean.png)
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