ajverster / RotationForestLinks
An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006
☆18Updated 12 years ago
Alternatives and similar repositories for RotationForest
Users that are interested in RotationForest are comparing it to the libraries listed below
Sorting:
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- ☆25Updated 9 years ago
- Code for the Kaggle Marinexplore challenge☆17Updated 12 years ago
- R code for reading and writing files in libsvm format☆14Updated 10 years ago
- Code and data for "The Geometry of Classifiers"☆26Updated 5 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- Document or binary file vectorization with Normalized Compression Distance in Python.☆17Updated 9 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 7 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- algorithms for community detection from n-partite networks☆12Updated 5 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 9 years ago
- Graph-based learning in Python☆17Updated 7 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited Data☆1Updated 7 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- FTRL-Proximal Online Learning Algorithm☆15Updated 8 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- Machine Learning Open Source Software☆23Updated 6 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 6 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 8 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago