Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge. Learn more →
Top 8 Python metric-learning Projects
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorialProject mention: FLiP Stack Weekly for 21 Jan 2023 | dev.to | 2023-01-23
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
:dart: Task-oriented finetuning for better embeddings on neural searchProject mention: How do you think search will change with technology like ChatGPT, Bing’s new AI search engine and the upcoming Google Bard? | /r/singularity | 2023-02-21
And all of that has something to do with finetuners. It basically fine-tunes AI models for specific use cases. With it can create a custom search experience that is tailored to their specific needs. I also wonder how this is going to be integrated into SEO tools soon since those tools are catered to traditional search engines.
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.Project mention: New free tool that uses fine-tuned BERT model to surface answers from research papers | /r/LanguageTechnology | 2022-10-28
Tensorflow Ranking and Tensorflow similarity (maybe relevant/irrelevant contrastive learning?) look like they could be useful.
Blazing fast framework for fine-tuning similarity learning models
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.Project mention: A New AI Research Proposes Compositional Exemplars for In-context Learning (CEIL): A Novel Approach That Uses Determinantal Point Process (DPP) for More Efficient In-context Learning | /r/machinelearningnews | 2023-02-21
Quick Read: https://www.marktechpost.com/2023/02/21/a-new-ai-research-proposes-compositional-exemplars-for-in-context-learning-ceil-a-novel-approach-that-uses-determinantal-point-process-dpp-for-more-efficient-in-context-learning/ Paper: https://arxiv.org/pdf/2302.05698.pdf Github: https://github.com/HKUNLP/icl-ceil
Python metric-learning related posts
Create Your Own Custom Plugins for ChatGPT 🎉 Browse the Web, Execute Code, Use APIs 🛠️
3 projects | /r/ChatGPT | 28 Mar 2023
How do you think search will change with technology like ChatGPT, Bing’s new AI search engine and the upcoming Google Bard?
1 project | /r/singularity | 21 Feb 2023
Combining multiple lists into one, meaningfully
1 project | /r/GPT3 | 17 Feb 2023
speech_recognition not able to convert the full live audio to text. Please help me to fine-tune it.
1 project | /r/MLQuestions | 17 Feb 2023
Questions about fine-tuned results. Should the completion results be identical to fine-tune examples?
1 project | /r/OpenAI | 17 Feb 2023
[D] Looking for an open source Downloadable model to run on my local device.
2 projects | /r/MachineLearning | 12 Feb 2023
Is there a way I can feed the gpt3 model database object like tables? I know we can create fine tune model but not sure about the completion part. Please help!
1 project | /r/GPT3 | 8 Feb 2023
A note from our sponsor - InfluxDB
www.influxdata.com | 22 Sep 2023
What are some of the best open-source metric-learning projects in Python? This list will help you: