Transformers4Rec
Neural-Scam-Artist
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| Transformers4Rec | Neural-Scam-Artist | |
|---|---|---|
| 4 | 2 | |
| 1,030 | 22 | |
| 4.1% | - | |
| 5.3 | 0.0 | |
| 3 days ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Transformers4Rec
- New item prediction modules in open source libraries
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Okay Do you think a recommendation engine for a final year project is too simple?
It's fine for a thesis project IMO! Recommendation is very much an active field with cool recent developments. If your supervisors are still sceptical you could try implementing one of the recent papers that apply transformers (like https://github.com/NVIDIA-Merlin/Transformers4Rec) or zone in on cold start problems in your domain.
- Show HN: Transformers4Rec -a new library for Transformers on Recommender Systems
Neural-Scam-Artist
What are some alternatives?
TabFormer - Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
datasketch - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
NeuRec - Next RecSys Library
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
LSH - Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
BERT-pytorch - Google AI 2018 BERT pytorch implementation
kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
Extracting-Training-Data-from-Large-Langauge-Models - A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
intertext - Detect and visualize text reuse