jrzaurin / pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
☆1,299Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-widedeep
- Research on Tabular Deep Learning: Papers & Packages☆902Updated last week
- Factorization Machine models in PyTorch☆1,032Updated 7 months ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆811Updated 11 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,382Updated this week
- train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc☆178Updated 2 years ago
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆298Updated last year
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,647Updated 3 weeks ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆649Updated 3 months ago
- allRank is a framework for training learning-to-rank neural models based on PyTorch.☆873Updated 3 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆402Updated 2 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆483Updated 3 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆546Updated 3 months ago
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,123Updated last month
- Learning to Rank in PyTorch☆474Updated 2 years ago
- ☆337Updated 3 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆312Updated last week
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆941Updated last week
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,022Updated 4 months ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆243Updated 5 years ago
- An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.☆1,138Updated 2 years ago
- Pytorch implementation of BERT4Rec and Netflix VAE.☆357Updated last year
- A Comparative Framework for Multimodal Recommender Systems☆885Updated 2 months ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆287Updated last year
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR…☆1,460Updated this week
- A Tensorflow 2.0 implementation of TabNet.☆239Updated last year
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆357Updated last week
- ☆191Updated 3 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆379Updated 3 years ago
- ☆1,102Updated 4 years ago
- ☆343Updated 3 years ago