awesome-metric-learning VS contract-discovery

Compare awesome-metric-learning vs contract-discovery and see what are their differences.

contract-discovery

Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP). (by applicaai)
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awesome-metric-learning contract-discovery
3 1
433 25
0.5% -
1.8 0.0
about 1 year ago over 3 years ago
TeX
Creative Commons Zero v1.0 Universal -
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.

awesome-metric-learning

Posts with mentions or reviews of awesome-metric-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-28.
  • Create Your Own Custom Plugins for ChatGPT ๐ŸŽ‰ Browse the Web, Execute Code, Use APIs ๐Ÿ› ๏ธ
    3 projects | /r/ChatGPT | 28 Mar 2023
    And, for resources on similarity learning at large, you may want to check out this annotated list: https://github.com/qdrant/awesome-metric-learning
  • Similarity Learning lacks a framework. So we built one
    6 projects | news.ycombinator.com | 13 Jul 2022
    Some loss functions such as ArcFace loss and CosFace loss enforce the encoder model to organize their latent space in such a way that categories are placed with an angular margin from one another. Thus the model implicitly learns a continuous distance function.

    Fun fact, one of the examples in Quaterion is for similar cars search.

    If you find this topic and want to discover more, we collected a bunch of resources that might be helpful. https://github.com/qdrant/awesome-metric-learning

  • Awesome Metric Learning!
    1 project | /r/datascience | 20 Jan 2022
    The Metric Learning approach to data science problems is heavily underutilized. There are a lot of academic papers around it but much fewer practical guides and tutorials. So we decided that we could help people adopt metric learning by collecting related materials in one place. We are publishing a curated list of awesome practical metric learning tools, libraries, and materials - https://github.com/qdrant/awesome-metric-learning This collection aims to put together references to all required materials for building your application using Metric Learning. It is open-source, PR's are more than welcome!

contract-discovery

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

What are some alternatives?

When comparing awesome-metric-learning and contract-discovery you can also consider the following projects:

awesome-TS-anomaly-detection - List of tools & datasets for anomaly detection on time-series data.

awesome-semantic-search - A curated list of awesome resources related to Semantic Search๐Ÿ”Ž and Semantic Similarity tasks.

build-your-own-x - Master programming by recreating your favorite technologies from scratch.

awesome-hungarian-nlp - A curated list of NLP resources for Hungarian

finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

legal - Legal documents such as Privacy Policy and Terms of Service.

qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

awesome-sentiment-attitude-extraction - A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

quaterion - Blazing fast framework for fine-tuning similarity learning models

compendium - The Greatest Collection of anything related to finance and crypto

Milvus - A cloud-native vector database, storage for next generation AI applications

free-privacy-notice - Open source privacy notice design patterns.