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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.
Project mention: which book to chose for deep learning :lan Goodfellow or francois chollet | /r/learnmachinelearning | 2023-04-07 -
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
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recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow. (by tensorflow)
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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Recommendation Framework https://github.com/alibaba/EasyRec
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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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Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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Project mention: EvalRS2023 for Recommender Systems + Hackathon | /r/recommendersystems | 2023-04-29
RecList OS library and paper (it will be used for the event)
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recs-at-resonable-scale
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
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.
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End-to-end stuff, full-fledge stacks: https://github.com/jacopotagliabue/post-modern-stack
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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.
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering (github.com)
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I’ll push back on this. I think most of us want some external validation that what we’re creating is useful and valuable.
I spent 2 solid years working on https://improve.ai and it’s gotten very little uptake. It’s taken a long time to emotionally get over putting that much blood, sweat, and money into something that almost no one values.
Going forward will be failing much faster and not giving my life energy to products that aren’t showing traction.
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Project mention: [R] Blurring-Sharpening Process Models for Collaborative Filtering (TLDR: graph filtering-based methods + inspired by SGMs = SOTA models for recommender systems) | /r/MachineLearning | 2023-04-07
We have more exciting works on recommender systems; please check our LT-OCF (code) and HMLET (code)!
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matrix-factorization
Library for matrix factorization for recommender systems using collaborative filtering
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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 - InfluxDB
www.influxdata.com | 10 Dec 2023
Index
What are some of the best open-source recommender-system projects in Python? This list will help you:
Project | Stars | |
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1 | d2l-en | 20,081 |
2 | LightFM | 4,486 |
3 | implicit | 3,331 |
4 | catalyst | 3,189 |
5 | spotlight | 2,918 |
6 | neural_collaborative_filtering | 1,686 |
7 | recommenders | 1,683 |
8 | torchrec | 1,594 |
9 | EasyRec | 1,299 |
10 | TensorRec | 1,248 |
11 | fastFM | 1,051 |
12 | NVTabular | 972 |
13 | Transformers4Rec | 946 |
14 | RecSysDatasets | 622 |
15 | reclist | 429 |
16 | rexmex | 270 |
17 | recs-at-resonable-scale | 209 |
18 | post-modern-stack | 174 |
19 | Federated-Recommendation-Neural-Collaborative-Filtering | 19 |
20 | python-ranker | 19 |
21 | LT-OCF | 17 |
22 | matrix-factorization | 16 |
23 | riscv-newop | 15 |