yu-iskw / google-cloud-deep-learning-kit
Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
☆39Updated 6 years ago
Alternatives and similar repositories for google-cloud-deep-learning-kit:
Users that are interested in google-cloud-deep-learning-kit are comparing it to the libraries listed below
- ML model serving app based on APIs☆71Updated 3 years ago
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆47Updated 7 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- A quick start project for polyaxon☆29Updated 6 months ago
- ☆52Updated 6 years ago
- ☆11Updated 7 years ago
- ☆26Updated 6 years ago
- ☆83Updated 5 years ago
- ☆49Updated 5 years ago
- ☆28Updated 5 years ago
- Code and notebooks for a talk given at PyBay, 2018-08-19☆48Updated 3 years ago
- Article for Special Edition of Information: Machine Learning with Python☆13Updated last month
- ☆15Updated 6 years ago
- JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment☆30Updated 5 years ago
- Sample Notebooks for PipelineAI☆44Updated 2 years ago
- Complete solution for the Recruit Restaurant Visitor Forecasting Competition☆38Updated 6 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 6 years ago
- KDD Hands-On Tutorial (2018)☆29Updated 2 years ago
- Fully Configured Example of CI/CD For Notebooks On Top Of GCP☆22Updated 2 years ago
- Prototype MLOps Dashboard Using GitHub Pages☆23Updated 2 years ago
- ☆28Updated 6 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 6 years ago
- Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard☆33Updated 6 years ago
- AWS EC2 computer management for regular folks☆121Updated 2 years ago
- Winning solution for the Kaggle "West Nile Virus" competition (2015)☆30Updated 9 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Experiments for Jeremy Howard's deep learning courses☆39Updated 7 years ago
- ☆59Updated 3 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago