awesome-metric-learning VS ChatLLaMA-and-ChatGPT-Desktop-App

Compare awesome-metric-learning vs ChatLLaMA-and-ChatGPT-Desktop-App and see what are their differences.

ChatLLaMA-and-ChatGPT-Desktop-App

A desktop application written in PyQT5 (python). Has support for using openai chatGPT as well as using a locally running llama model. Local has support for inferencing in 8-bit as well as 4/3/2 bit inferencing (model must already be quantized). (by serp-ai)
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awesome-metric-learning ChatLLaMA-and-ChatGPT-Desktop-App
3 1
433 70
0.5% -
1.8 5.9
about 1 year ago 9 months ago
Python
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 🎉 Browse the Web, Execute Code, Use APIs 🛠️
    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!

ChatLLaMA-and-ChatGPT-Desktop-App

Posts with mentions or reviews of ChatLLaMA-and-ChatGPT-Desktop-App. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-28.

What are some alternatives?

When comparing awesome-metric-learning and ChatLLaMA-and-ChatGPT-Desktop-App you can also consider the following projects:

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

ChatGPT-Plugins - Repo for giving ChatGPT the ability to use web browsing, python code execution, and custom plugins

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

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

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

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).

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

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

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.