Alternatives and similar repositories for EntityEmbedding-Working_Example

Users that are interested in EntityEmbedding-Working_Example are comparing it to the libraries listed below

• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆91Updated 2 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆142Updated 6 years ago
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆174Updated 3 years ago
• pourya-ir / Medium
  ☆49Updated 6 years ago
• nkartik94 / Multi-Label-Text-Classification
  Kaggle Toxic Comments Challenge
  ☆109Updated 7 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 6 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• h2oai / pystacknet
  ☆297Updated 3 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆246Updated 7 years ago
• manifoldai / mf-eng-public
  ☆50Updated 7 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 3 months ago
• AlliedToasters / dfencoder
  ☆131Updated 3 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 6 years ago
• KwokHing / YandexCatBoost-Python-Demo
  Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…
  ☆30Updated 6 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 8 months ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 7 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆143Updated 2 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆88Updated 7 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆702Updated 2 months ago
• prrao87 / tweet-stance-prediction
  Applying NLP transfer learning techniques to predict Tweet stance toward a topic
  ☆107Updated 6 years ago
• mattilyra / pydataberlin-2017
  Repo for my talk at the PyData Berlin 2017 conference
  ☆66Updated 8 years ago