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
☆1,396Updated 4 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:
- allRank is a framework for training learning-to-rank neural models based on PyTorch.☆987Updated last year
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,060Updated 3 weeks ago
- Factorization Machine models in PyTorch☆1,088Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆1,104Updated last year
- A unified framework for Deep Learning Models on tabular data☆1,623Updated this week
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,244Updated last month
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,897Updated last year
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆658Updated last year
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,363Updated last year
- Learning to Rank in PyTorch☆489Updated 3 years ago
- ☆350Updated 4 years ago
- 🛍 A real-world e-commerce dataset for session-based recommender systems research.☆368Updated 8 months ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆517Updated 5 years ago
- A Tensorflow 2.0 implementation of TabNet.☆245Updated 2 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Updated last year
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,354Updated 7 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆460Updated 4 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆401Updated 9 months ago
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆310Updated 3 years ago
- train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc☆185Updated this week
- Solutions to Recommender Systems competitions☆200Updated 3 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,407Updated 9 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,822Updated 2 months ago
- ☆1,146Updated 5 years ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,138Updated 3 months ago
- Pytorch domain library for recommendation systems☆2,465Updated this week
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆337Updated last year
- Learning to Rank in TensorFlow☆2,780Updated last year
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer☆706Updated 5 years ago