haowei01 / pytorch-examples
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
☆182Updated 2 months ago
Alternatives and similar repositories for pytorch-examples:
Users that are interested in pytorch-examples are comparing it to the libraries listed below
- Learning to Rank in PyTorch☆482Updated 2 years ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆290Updated 2 years ago
- A Python version of RankNet, LambdaRank and LambdaMart☆127Updated 4 years ago
- Python implementation of LambdaMart☆184Updated 4 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM☆225Updated 5 years ago
- LambdaRank Neural Network model using Keras.☆86Updated 5 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- ☆81Updated 6 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 years ago
- My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.☆247Updated 6 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆104Updated 3 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆247Updated 3 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆203Updated 5 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆390Updated 3 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 4 years ago
- Deep-Learning based CTR models implemented by PyTorch☆251Updated 4 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆99Updated 5 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- Learning to Rank in PyTorch☆82Updated last year
- Fast Greedy MAP Inference for DPP☆125Updated 4 years ago
- Tensorflow implementations of various Learning to Rank (LTR) algorithms.☆230Updated 6 years ago
- mtgbmcode☆172Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆246Updated 6 years ago
- ☆178Updated 5 years ago
- PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)☆147Updated 6 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆271Updated 4 years ago
- An other implementation of GRU4REC using PyTorch☆248Updated 3 years ago