Koziev / MNIST_BoostingLinks
Comparison of XGBoost, LightGBM and CatBoost on MNIST classification problem
☆40Updated 8 years ago
Alternatives and similar repositories for MNIST_Boosting
Users that are interested in MNIST_Boosting are comparing it to the libraries listed below
Sorting:
- Stacked Generalization (Ensemble Learning)☆226Updated 7 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 7 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 6 years ago
- Solution to Kaggle - Web Traffic Time Series Forecasting☆34Updated 6 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
- Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.☆22Updated 5 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆260Updated 7 years ago
- Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)☆26Updated 6 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 7 years ago
- Implementation of IndRNN in Keras☆67Updated 5 years ago
- 10th solution☆21Updated 5 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆329Updated last year
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆48Updated 9 years ago
- ☆23Updated 6 years ago
- Earthquake Prediction Challenge with LightGBM and XGBoost☆69Updated 6 years ago
- ☆61Updated 8 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- ☆19Updated 5 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- A wrapper layer for stacking layers horizontally☆228Updated 3 years ago
- 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
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆24Updated 5 years ago
- Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras☆55Updated 6 years ago
- This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.☆189Updated 7 years ago
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆111Updated last year
- Template for Stacking (Stacked Generalization) Ensemble Method☆37Updated 9 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 9 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 7 years ago
- Implementations of Quantile Regression☆28Updated 7 years ago