This is collection of machine learning projects demonstrating how to use BentoML to ship trained machine learning models for model serving in production.
- Sentiment Analysis - Google Colab | nbviewer | source
- Iris Classifier with Custom WebUI - Google Colab | nbviewer | source
- Multiple models with JsonInput - Google Colab | nbviewer | source
- Fashion MNIST - Google Colab | nbviewer | source
- CIFAR-10 Image Classification - Google Colab | nbviewer | source
- Fashion MNIST - Google Colab | nbviewer | source
- Text Classification - Google Colab | nbviewer | source
- Toxic Comment Classifier - Google Colab | nbviewer | source
- tf.Function echo model - Google Colab | nbviewer | source
- Tf2 fashion MNIST - Google Colab | nbviewer | source
- Movie Review Sentiment with BERT - Google Colab | nbviewer | source
- Titanic Survival Prediction - Google Colab | nbviewer | source
- League of Legend win Prediction - Google Colab | nbviewer | source
- Pet Image Classification - Google Colab | nbviewer | source
- Salary Range Prediction - Google Colab | nbviewer | source
- FastAI 2 Medical Image Classification Google Colab | nbviewer | Source
- Titanic Survival Prediction - Google Colab | nbviewer | source
- Loan Default Prediction - Google Colab | nbviewer | source
- Prostate Cancer Prediction - Google Colab | nbviewer | source
- Text Classification - Google Colab | nbviewer | source
-
Scikit-learn Iris Classifier - Google Colab | nbviewer | source
-
ResNet50 Image Recognition (ONNX model zoo) - Google Colab | nbviewer | source
- LinearRegression - Google Colab | nbviewer | Source
- Image Segmentation - Google Colab | nbviewer | Source
- Named Entity Recognizer - Google Colab | nbviewer | source
- Load Mlflow model - source
-
- Movie Review with TensorFlow 2.0 and BERT - Google Colab | nbviewer | source
- Shampoo Sales Prediction - Google Colab | nbviewer | source
Have questions or feedback? Post a new github issue or join our Slack chat room:
Want to help build BentoML? Check out our contributing guide and the development guide in the main repository.
To make sure you have a pleasant experience, please read the code of conduct. It outlines core values and beliefs and will make working together a happier experience.
If you have built an interesting project using BentoML and wants to add it to the list, feel free to share and chat with us in our slack channel.
Happy hacking!