Waikato / waikato-repositories
Curated list of github repositories that are associated with the Faculty of Computing and Mathematical Sciences of the University of Waikato.
☆22Updated 6 months ago
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- No longer updated mirror of the Weka trunk branch.☆124Updated 2 years ago
- OpenCog Unsupervised Language Learning☆21Updated 5 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆44Updated 3 months ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 2 years ago
- Dynamic Distributed Dimensional Data Model☆40Updated 4 months ago
- matching between unstructured and structured data sets☆14Updated 6 years ago
- Examples of working and non-working models, initially for ODCS 2016 in Boston.☆11Updated 8 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- ☆10Updated this week
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 4 years ago
- 🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.☆27Updated 6 months ago
- NLP functionality on top of the Sigma system☆16Updated 2 weeks ago
- Repository of Notebooks taken from https://neo4j.com/graph-algorithms-book/☆26Updated 4 years ago
- Show how to perform fast retraining with LightGBM in different business cases☆54Updated 5 years ago
- ☆13Updated 4 years ago
- Notebooks for Alea GPU☆12Updated 7 years ago
- Tutorial repo for the article "ML in Production"☆12Updated 6 years ago
- ☆14Updated 6 years ago
- Sample techniques for a variety of feature extraction methods☆32Updated 3 years ago
- This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…☆129Updated last month
- Tools for Measuring Classification Performance for R, Python and Spark☆13Updated 6 years ago
- ☆22Updated this week
- Animated Visualizations of Popular Machine Learning Algorithms☆37Updated 7 years ago
- BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.☆32Updated last year
- unsupervised multi-model fraud-detection algorithm √☆11Updated 8 years ago
- Python library for deploying models built using Python to Alteryx Promote.☆16Updated 2 years ago
- Public Repository for the IARPA Mercury Challenge☆40Updated 5 years ago
- KDD Hands-On Tutorial (2018)☆29Updated last year
- Pipeline Explorer - Explore and analyze millions of pipelines learned using MLBlocks and MLPrimitives.☆17Updated last year
- A curated list of feature engineering techniques for image and text machine learning☆50Updated 7 years ago