Receiling / DP3Links
Deep Point Process by PyTorch
☆23Updated 5 years ago
Alternatives and similar repositories for DP3
Users that are interested in DP3 are comparing it to the libraries listed below
Sorting:
- ☆89Updated 2 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- Source code of The Neural Hawkes Process (NIPS 2017)☆225Updated 4 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 6 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆15Updated 6 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆60Updated 7 years ago
- Recurrent Marked Temporal Point Processes☆56Updated 4 years ago
- A Point Process Toolbox Based on PyTorch☆133Updated 5 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆92Updated 7 years ago
- A PyTorch implementation of REINFORCE Learning To Rank on OSHUMED, MQ, etc. dataset. Basic idea also appears in SIGIR'17 Reinforcement Le…☆18Updated 7 years ago
- ☆55Updated 6 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago
- Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems☆30Updated 5 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 3 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- ☆21Updated 3 years ago
- WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems☆35Updated 5 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation☆23Updated 7 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆34Updated 5 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆81Updated 6 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- An implementation of "Recurrent Recommender Networks" with Tensorflow.☆33Updated 7 years ago
- ☆11Updated 5 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆62Updated 4 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆37Updated 2 years ago