Neural-Scam-Artist
Transformers4Rec
Neural-Scam-Artist | Transformers4Rec | |
---|---|---|
2 | 4 | |
23 | 1,038 | |
- | 2.2% | |
0.0 | 5.3 | |
over 2 years ago | 6 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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Neural-Scam-Artist
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
What are some alternatives?
datasketch - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
TabFormer - Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
NeuRec - Next RecSys Library
LSH - Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
BERT-pytorch - Google AI 2018 BERT pytorch implementation
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
kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
intertext - Detect and visualize text reuse
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data