augerai / a2ml
Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML
☆41Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for a2ml
- Process, visualize and use data easily.☆20Updated last year
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 3 years ago
- An open source python library for automated prediction engineering☆46Updated last week
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- How to do data science with Optimus, Spark and Python.☆18Updated 5 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Building an API with the FastAPI framework to serve a scikit-learn model.☆18Updated 5 years ago
- ☆19Updated 3 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated last month
- Model management example using Polyaxon, Argo and Seldon☆23Updated 6 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 7 years ago
- Documentation and resources for deploying JupyterHub on Hadoop☆18Updated 5 years ago
- ☆15Updated 6 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 5 years ago
- Python bindings for Matroid API☆16Updated last month
- JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment☆30Updated 5 years ago
- ElasticSearch implementation of MlFlow tracking store☆16Updated 4 years ago
- Comparison of automatic machine learning libraries☆26Updated 6 years ago
- Spark NLP for Streamlit☆15Updated 3 years ago
- Exploring item combinations with a bar chart☆10Updated 3 years ago
- Materials for the SciPy 2019 RAPIDS tutorial☆21Updated 5 years ago
- Sample Notebooks for PipelineAI☆44Updated 2 years ago
- Extract, PreProcess, and Analyze big data on GPUs☆21Updated 6 years ago
- ☆13Updated 7 years ago
- Automatic Machine Learning (AutoML) for Wave Apps☆32Updated last year
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- ☆11Updated 6 years ago
- Deep learning for time-varying multi-entity datasets☆17Updated 6 years ago