🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】
☆159Mar 25, 2023Updated 3 years ago
Alternatives and similar repositories for Awesome-Uplift-Model
Users that are interested in Awesome-Uplift-Model are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆92Jul 31, 2024Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆119Dec 27, 2023Updated 2 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆103Mar 29, 2023Updated 3 years ago
- 🤩Learning and reproducing classic deep learning models by using PyTorch.【Machine Learning,CV,NLP,Mutimodal,GNN,etc.】☆32Mar 14, 2022Updated 4 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆41Feb 11, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 4 years ago
- pytorch implementation of dragonnet☆48Sep 29, 2022Updated 3 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆79Dec 28, 2023Updated 2 years ago
- ☆11Jun 5, 2021Updated 5 years ago
- An index of algorithms for learning causality with data☆3,284Jan 22, 2025Updated last year
- HST.953 Workshop: Using MIMIC/eICU I/O and Medication Data☆14Oct 12, 2018Updated 7 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆335Mar 23, 2023Updated 3 years ago
- Deep Learning Models for AKI Prediction on MIMIC-III and eICU database☆10Nov 7, 2019Updated 6 years ago
- KDD淘宝长尾推荐见https://tianchi.aliyun.com/competition/entrance/231785/information☆11Jul 2, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆18May 5, 2023Updated 3 years ago
- uplift modeling in scikit-learn style in python☆814Oct 21, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆6,000Aug 20, 2026Updated 3 weeks ago
- the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)☆13Jun 17, 2023Updated 3 years ago
- 基于wide deep模型的CTR预估,从训练到部署☆18Jun 24, 2019Updated 7 years ago
- TARNet Model with tensorflow 2 API.☆11Jun 7, 2025Updated last year
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆140Dec 22, 2020Updated 5 years ago
- ☆28Feb 11, 2021Updated 5 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆23May 24, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"☆13Feb 20, 2024Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆145May 1, 2024Updated 2 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆938Nov 15, 2019Updated 6 years ago
- 📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】☆25Feb 2, 2023Updated 3 years ago
- Code for paper "Estimating Trustworthy Treatment Effects for Antibiotic Stewardship in Sepsis"☆19Mar 6, 2023Updated 3 years ago
- ☆19Jan 14, 2023Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- Reinforcement Learning for Uplift Modeling☆13Mar 13, 2021Updated 5 years ago
- ☆27Aug 30, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆59Dec 18, 2024Updated last year
- Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces☆12Apr 19, 2023Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- ☆68Oct 14, 2021Updated 4 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆21May 28, 2023Updated 3 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆20May 22, 2022Updated 4 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆99Sep 11, 2022Updated 4 years ago