jrzaurin / pytorch-widedeepLinks
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
☆1,395Updated 3 months ago
Alternatives and similar repositories for pytorch-widedeep
Users that are interested in pytorch-widedeep are comparing it to the libraries listed below
Sorting:
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,054Updated this week
- Research on Tabular Deep Learning: Papers & Packages☆1,091Updated last year
- Factorization Machine models in PyTorch☆1,086Updated last year
- A standard framework for modelling Deep Learning Models for tabular data☆1,620Updated last week
- allRank is a framework for training learning-to-rank neural models based on PyTorch.☆983Updated last year
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆658Updated last year
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,885Updated last year
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,238Updated last month
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆515Updated 4 years ago
- Learning to Rank in PyTorch☆489Updated 3 years ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,352Updated last year
- ☆350Updated 4 years ago
- train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc☆185Updated 2 months ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆658Updated 3 years ago
- A Tensorflow 2.0 implementation of TabNet.☆245Updated 2 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆396Updated 8 months ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Updated last year
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆460Updated 4 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,818Updated last month
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆336Updated last year
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆310Updated 3 years ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,344Updated 6 months ago
- ☆1,146Updated 5 years ago
- 🛍 A real-world e-commerce dataset for session-based recommender systems research.☆367Updated 7 months ago
- ☆350Updated 4 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,401Updated 8 months ago
- Versatile End-to-End Recommender System☆464Updated 5 months ago
- Pytorch domain library for recommendation systems☆2,449Updated this week
- ☆170Updated 5 years ago