biarne-a / hm-two-step-reco
An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
☆22Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for hm-two-step-reco
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated last year
- In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.☆22Updated 3 years ago
- ☆61Updated 2 months ago
- python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training☆20Updated last year
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆135Updated 4 months ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…☆49Updated last year
- Official repo for FF19: Session-based Recommender Systems☆41Updated 3 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆28Updated 7 years ago
- Talk: Building Robust and Scalable Recommendation Systems for Online Food Delivery☆12Updated last year
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆10Updated 3 years ago
- Experiments on how to use machine learning to rank a product catalog☆84Updated 7 years ago
- Multiple ways to model user preference in recommender systems☆14Updated 6 months ago
- Official Repository for EvalRS @ KDD 2023: a Rounded Evaluation of Recommender Systems☆30Updated 9 months ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated 3 months ago
- Embed categorical variables via neural networks.☆59Updated last year
- ☆17Updated 2 years ago
- 🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow☆18Updated last year
- Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.☆23Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆77Updated 2 years ago
- ☆30Updated 5 months ago
- Comparing keras, pytorch and gluon using neural collaborative filtering☆18Updated 5 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆54Updated 2 years ago
- ☆18Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆28Updated last year
- ☆44Updated 5 years ago
- Sample data science projects (machine learning, optimization, business intelligence)☆26Updated 6 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 6 years ago
- Machine Learning with TensorFlow Extended (TFX) Pipelines☆13Updated last year
- Reading list for research topics in intent analysis.☆15Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 3 years ago