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Top 23 Python recommender-system Projects
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow. (by tensorflow)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
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recs-at-resonable-scale
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
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Federated-Recommendation-Neural-Collaborative-Filtering
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
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matrix-factorization
Library for matrix factorization for recommender systems using collaborative filtering
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SaaSHub
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Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
Recommendation Framework https://github.com/alibaba/EasyRec
Project mention: EvalRS2023 for Recommender Systems + Hackathon | /r/recommendersystems | 2023-04-29RecList OS library and paper (it will be used for the event)
Good paper, and in response to that one a team from Coveo, wrote this paper on behavioral tests for recommender systems... and also this repo.
End-to-end stuff, full-fledge stacks: https://github.com/jacopotagliabue/post-modern-stack
Project mention: Introduction to Thompson Sampling: The Bernoulli Bandit | news.ycombinator.com | 2024-02-04I built a contextual bandit combining XGBoost with Thompson Sampling you can check out at https://improve.ai
Python recommender-system related posts
- [Advice] MLOps Course recommendations
- Federated-Recommendation-Neural-Collaborative-Filtering
- Recommendation system integration
- Content-based Recommender System with Python
- A new way to build decentralised recommendation engines for the creator economy
- Python Command not giving any output!
- Python Command not giving any output!
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A note from our sponsor - SaaSHub
www.saashub.com | 20 Apr 2024
Index
What are some of the best open-source recommender-system projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | d2l-en | 21,564 |
2 | LightFM | 4,593 |
3 | implicit | 3,420 |
4 | catalyst | 3,221 |
5 | spotlight | 2,934 |
6 | recommenders | 1,748 |
7 | torchrec | 1,719 |
8 | neural_collaborative_filtering | 1,707 |
9 | EasyRec | 1,467 |
10 | TensorRec | 1,250 |
11 | fastFM | 1,063 |
12 | Transformers4Rec | 1,025 |
13 | NVTabular | 1,002 |
14 | RecSysDatasets | 704 |
15 | reclist | 448 |
16 | rexmex | 275 |
17 | recs-at-resonable-scale | 218 |
18 | post-modern-stack | 180 |
19 | BSPM | 76 |
20 | Federated-Recommendation-Neural-Collaborative-Filtering | 25 |
21 | python-ranker | 21 |
22 | LT-OCF | 20 |
23 | matrix-factorization | 19 |
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