haowei01 / pytorch-examples
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
☆178Updated this week
Alternatives and similar repositories for pytorch-examples:
Users that are interested in pytorch-examples are comparing it to the libraries listed below
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- A Python version of RankNet, LambdaRank and LambdaMart☆126Updated 4 years ago
- Learning to Rank in PyTorch☆479Updated 2 years ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆288Updated 2 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.☆85Updated 5 years ago
- Python implementation of LambdaMart☆183Updated 4 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆202Updated 5 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆98Updated 4 years ago
- Deep-Learning based CTR models implemented by PyTorch☆250Updated 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…☆242Updated 2 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 4 years ago
- My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.☆247Updated 6 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆382Updated 3 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆183Updated 3 years ago
- ☆81Updated 6 years ago
- ☆179Updated 5 years ago
- mtgbmcode☆168Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆367Updated 3 months ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆103Updated 2 years ago
- ☆286Updated 5 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 years ago
- Fast Greedy MAP Inference for DPP☆123Updated 4 years ago
- Dynamic Fair Rankings☆85Updated last year
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆71Updated 5 years ago
- ☆61Updated 3 years ago
- This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…☆89Updated 2 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 4 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year