giladkatz / ExploreKitLinks
☆74Updated 7 years ago
Alternatives and similar repositories for ExploreKit
Users that are interested in ExploreKit are comparing it to the libraries listed below
Sorting:
- AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…☆114Updated 5 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 7 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.☆60Updated 6 years ago
- A simplified version of featuretools for Spark☆31Updated 6 years ago
- A collaborative feature engineering system built on JupyterHub☆94Updated 6 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- Positive-Unlabeled Learning for Apache Spark☆42Updated 7 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago
- ☆35Updated 5 years ago
- Development Repository for GPU-accelerated GBDT training☆60Updated 8 years ago
- Benchmark of different ML algorithms on Criteo 1TB dataset☆151Updated 8 years ago
- A prototype implementation of ClusChurn based on PyTorch.☆52Updated 7 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- ☆70Updated 5 years ago
- A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition☆36Updated 7 years ago
- The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge☆17Updated 6 years ago
- TSFresh primitives for featuretools☆36Updated 3 years ago
- Fast and memory-efficient svmlight / libsvm file loader for Python.☆117Updated 6 years ago
- Benchmarking Gradient Boosting in TensorFlow and XGBoost☆137Updated 7 years ago
- Open source Machine Learning library written in Java☆189Updated 3 years ago
- An open source python library for automated prediction engineering☆44Updated 5 months ago
- Extension of the awesome XGBoost to linear models at the leaves☆82Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm☆152Updated 6 years ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆70Updated 4 years ago
- 🍊 Frequent itemsets and association rules mining for Orange 3.☆67Updated last year
- The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.☆15Updated 5 years ago
- ☆69Updated 5 years ago
- Distributed scikit-learn meta-estimators in PySpark☆286Updated 6 months ago