lucacarniato / multi-class-lightgbm-with-focal-loss
Multiclass LigthGBM classifier with costumized focal loss
☆19Updated 2 years ago
Alternatives and similar repositories for multi-class-lightgbm-with-focal-loss:
Users that are interested in multi-class-lightgbm-with-focal-loss are comparing it to the libraries listed below
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 7 years ago
- ☆28Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- Keras + Universal Sentence Encoder = Transfer Learning for text data☆33Updated 6 years ago
- Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.☆37Updated 2 years ago
- Missing Data Imputation Python Library☆35Updated 5 years ago
- Refer to paper "Embedding-based News Recommendation for Millions of Users" & "Article De-duplication Using Distributed Representations" p…☆31Updated last year
- AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation (2019 IJCAI paper)☆22Updated 5 years ago
- ☆19Updated 5 years ago
- A python package for feature selection in python☆51Updated 3 years ago
- Large Scale BERT Distillation☆32Updated last year
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 4 years ago
- Top 3% solution for Kaggle M5 Accuracy competition☆23Updated 4 years ago
- Python package for graph statistics☆9Updated 4 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 7 years ago
- 📈 😸 Binary focal loss implementations for catboost framework☆17Updated 4 years ago
- Position embedding layers in Keras☆58Updated 3 years ago
- A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)☆26Updated last year
- TSFresh primitives for featuretools☆36Updated 2 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated 4 months ago
- Variational deep autoencoder to predict churn customer☆28Updated 6 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- A fork of TabNet by Google Research☆26Updated last year
- Storage for Kaggle Quora competition☆16Updated 7 years ago
- Exploring learning rates to improve model performance☆19Updated 5 years ago
- ☆18Updated 5 years ago
- A custom Tensorflow implementation of Google's Electra NLP model with compositional embeddings using complementary partitions☆12Updated 3 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago