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 6 years ago
- A collaborative feature engineering system built on JupyterHub☆94Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.☆60Updated 5 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Extension of the awesome XGBoost to linear models at the leaves☆82Updated 6 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge☆17Updated 6 years ago
- Positive-Unlabeled Learning for Apache Spark☆42Updated 7 years ago
- ☆70Updated 5 years ago
- Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm☆152Updated 6 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago
- A simplified version of featuretools for Spark☆31Updated 6 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
- A prototype implementation of ClusChurn based on PyTorch.☆52Updated 7 years ago
- An open source python library for automated prediction engineering☆44Updated 3 months ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆71Updated 4 years ago
- Stacked Generalization (Ensemble Learning)☆226Updated 7 years ago
- Code for KDD CUP 2019 Auto-ML track☆21Updated 6 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI☆25Updated 2 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Fast and memory-efficient svmlight / libsvm file loader for Python.☆117Updated 6 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆154Updated last year
- Compute and plot NDCG for a recommender system☆95Updated 8 years ago
- TSFresh primitives for featuretools☆36Updated 3 years ago
- ☆69Updated 5 years ago
- CostSensitiveClassification Library in Python☆205Updated 5 years ago