From 0add1807300334d06e6766807ed5fe55ae1adb62 Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Wed, 17 Aug 2022 17:32:33 -0700 Subject: [PATCH] tweak readme examples table --- readme.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/readme.md b/readme.md index 97237ac..dbf0573 100644 --- a/readme.md +++ b/readme.md @@ -12,11 +12,11 @@ Compute statistics (`mean`, `std`, `min`, `max`, `median` or any other [`numpy` ## Example notebooks -| | | | | -| -------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| **Basic Python API Demo** | Binder | [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 | [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 | [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. | +| | | | +| -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **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)
[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)
[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)
[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)