rodrigobressan / entity_embeddings_categoricalLinks
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
☆70Updated 2 years ago
Alternatives and similar repositories for entity_embeddings_categorical
Users that are interested in entity_embeddings_categorical are comparing it to the libraries listed below
Sorting:
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- General Interpretability Package☆58Updated 2 years ago
- SNAIL Attention Block for Keras.☆16Updated 5 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆97Updated 6 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆59Updated 7 years ago
- Applying Snorkel to SuperGLUE☆26Updated 5 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Updated 4 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆35Updated 8 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow☆55Updated 6 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.☆27Updated 5 years ago
- Intel Labs open source repository for time series anomaly detection evaluator☆42Updated 11 months ago
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- An open source python library for automated prediction engineering☆44Updated 4 months ago
- Python utilities for Machine Learning competitions☆32Updated 8 years ago
- Random Forest model using Hellinger Distance as split criterion☆33Updated 2 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 8 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 4 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆78Updated 7 years ago
- sciblox - Easier Data Science and Machine Learning☆50Updated 8 years ago
- ☆50Updated 6 years ago
- Implementation of GloVe in Keras☆45Updated 2 years ago