Koziev / MNIST_BoostingLinks
Comparison of XGBoost, LightGBM and CatBoost on MNIST classification problem
☆41Updated 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)☆230Updated 8 years ago
- Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.☆22Updated 5 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 6 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆29Updated 8 years ago
- Solution to Kaggle - Web Traffic Time Series Forecasting☆34Updated 6 years ago
- ☆61Updated 8 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆261Updated 8 years ago
- Stacking classification and regression☆25Updated 6 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- Implementation of IndRNN in Keras☆67Updated 5 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆339Updated last year
- ☆169Updated 5 years ago
- Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers☆169Updated 4 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆155Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 4 months ago
- Multi heads attention for image classification☆80Updated 7 years ago
- 10th solution☆21Updated 6 years ago
- Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)☆26Updated 7 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 8 years ago
- ☆19Updated 6 years ago
- Template for Stacking (Stacked Generalization) Ensemble Method☆37Updated 10 years ago
- Earthquake Prediction Challenge with LightGBM and XGBoost☆71Updated 6 years ago
- Autoencoder model for rare event classification☆104Updated 6 years ago
- Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras☆55Updated 6 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆241Updated 4 years ago
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Updated 8 years ago
- Synthetic Minority Over-sampling Technique☆41Updated 8 years ago
- ☆23Updated 6 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆140Updated 6 years ago
- ☆193Updated 8 years ago