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Fix links #56

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -19,13 +19,13 @@ of models, experiments and benchmarks amidst these existing MLOps processes. MLC
acting as a contract and specification as opposed to a product or implementation.

This repository contains a number of MLCube examples that can run in different environments using
[MLCube runners](https://github.com/mlperf/mlcube).
[MLCube runners](https://github.com/mlcommons/mlcube).

1. [MNIST](./mnist) MLCube downloads data and trains a simple neural network. This MLCube can run with Docker or
Singularity locally and on remote hosts. The [README](./mnist/README.md) file provides instructions on how to run it.
MLCube [documentation](https://mlperf.github.io/mlcube/getting-started/mnist/) provides additional details.
MLCube [documentation](https://mlcommons.github.io/mlcube/getting-started/mnist/) provides additional details.
2. [Hello World](./hello_world) MLCube is a simple exampled described in this
[tutorial](https://mlperf.github.io/mlcube/getting-started/hello-world/).
[tutorial](https://mlcommons.github.io/mlcube/getting-started/hello-world/).
3. [EMDenoise](./emdenoise) MLCube downloads data and trains a deep convolutional neural network
for Electron Microscopy Benchmark. This MLCube can only run the Docker container.
The [README](./emdenoise/README.md) file provides instructions on how to run it.
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