Transformers4Rec VS Locomotive

Compare Transformers4Rec vs Locomotive and see what are their differences.

Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch. (by NVIDIA-Merlin)

Locomotive

Toolkit for training/converting LibreTranslate compatible language models 🚂 (by LibreTranslate)
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Transformers4Rec Locomotive
4 2
1,030 25
1.5% -
5.3 8.9
6 days ago 26 days ago
Python Python
Apache License 2.0 GNU Affero General Public License v3.0
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.

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.

Locomotive

Posts with mentions or reviews of Locomotive. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-11.

What are some alternatives?

When comparing Transformers4Rec and Locomotive you can also consider the following projects:

TabFormer - Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

LMOps - General technology for enabling AI capabilities w/ LLMs and MLLMs

NeuRec - Next RecSys Library

BERT-pytorch - Google AI 2018 BERT pytorch implementation

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

lingvo - Lingvo

kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.