This repository contains samples for usage of the Google Cloud Machine Learning Engine (Cloud ML Engine). For installation instructions and overview, please see the documentation. Please refer to README.md in each sample directory for more specific instructions.
Please checkout ML on GCP guides on how to bring your code from various ML frameworks to Google Cloud Platform.
- TensorFlow Estimator Trainer Package Template - Simplifies creating a trainer package for Cloud ML Engine.
- Census - Predict a person's income level
- Keras Census - Keras single node model
- Canned Estimator - TensorFlow canned estimator model
- Custom Estimator - TensorFlow custom estimator model
- Low Level TF - TensorFlow low level API model
- scikit-learn Training
- scikit-learn Online Prediction
- XGBoost Online Prediction
- Criteo - Predict how likely a person is to click on an advertisement
- Flowers - Recognize the type of a flower from its image
- Movielens - Make movie recommendations
- Reddit - Predict the score of a Reddit thread using a wide and deep model
- Cifar10 - Classify image content (training on multiple GPUs)
- MNIST on Cloud TPU
- ResNet-50 on Cloud TPU
- Inception on Cloud TPU
- Advanced Inception v3 on Cloud TPU
- RetinaNet on Cloud TPU
- Transformer with Tensor2Tensor on Cloud TPU
- Genomics Ancestry Inference - Genomics ancestry inference using 1000 Genomes dataset
We welcome external sample contributions and TensorFlow contrib API samples to contrib. Please help us improve your experience. See CONTRIBUTING.md