Neural-Scam-Artist VS Transformers4Rec

Compare Neural-Scam-Artist vs Transformers4Rec and see what are their differences.

Neural-Scam-Artist

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset. (by davidsvy)

Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch. (by NVIDIA-Merlin)
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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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Neural-Scam-Artist

Posts with mentions or reviews of Neural-Scam-Artist. We have used some of these posts to build our list of alternatives and similar projects.

Transformers4Rec

Posts with mentions or reviews of Transformers4Rec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-22.

What are some alternatives?

When comparing Neural-Scam-Artist and Transformers4Rec you can also consider the following projects:

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