Alternatives and similar repositories for pytorch-widedeep

Users that are interested in pytorch-widedeep are comparing it to the libraries listed below

• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆997Updated 8 months ago
• allegro / allRank
  allRank is a framework for training learning-to-rank neural models based on PyTorch.
  ☆967Updated last year
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆1,060Updated 11 months ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,585Updated last week
• motefly / DeepGBM
  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
  ☆660Updated last year
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,859Updated last year
• rixwew / pytorch-fm
  Factorization Machine models in PyTorch
  ☆1,081Updated last year
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 5 years ago
• NVIDIA-Merlin / Transformers4Rec
  Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
  ☆1,220Updated this week
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆505Updated 4 years ago
• wildltr / ptranking
  Learning to Rank in PyTorch
  ☆490Updated 3 years ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆452Updated 3 years ago
• rapidsai / deeplearning
  ☆348Updated 4 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆330Updated last year
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆382Updated 6 months ago
• haowei01 / pytorch-examples
  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
  ☆184Updated last week
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• tensorflow / ranking
  Learning to Rank in TensorFlow
  ☆2,782Updated last year
• otto-de / recsys-dataset
  🛍 A real-world e-commerce dataset for session-based recommender systems research.
  ☆350Updated 5 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,788Updated this week
• google / lifetime_value
  ☆363Updated last year
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆175Updated 3 years ago
• AmazingDD / daisyRec
  Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…
  ☆550Updated last year
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆657Updated 2 years ago
• reczoo / FuxiCTR
  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
  ☆1,301Updated 4 months ago
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆306Updated 2 years ago
• trent-b / iterative-stratification
  scikit-learn cross validators for iterative stratification of multilabel data
  ☆879Updated last year
• DeepGraphLearning / RecommenderSystems
  ☆1,139Updated 5 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆951Updated last year