Text2Poster-ICASSP-22
pytorch-metric-learning
Text2Poster-ICASSP-22 | pytorch-metric-learning | |
---|---|---|
1 | 3 | |
192 | 5,770 | |
- | - | |
4.1 | 7.9 | |
5 months ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
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.
Text2Poster-ICASSP-22
-
A New AI Framework Called Text2Poster Automatically Generates Visually-Effective Posters From The Textual Information
Quick Read: https://www.marktechpost.com/2023/01/25/a-new-ai-framework-called-text2poster-automatically-generates-visually-effective-posters-from-the-textual-information/ Paper: https://arxiv.org/pdf/2301.02363.pdf Github: https://github.com/chuhaojin/Text2Poster-ICASSP-22
pytorch-metric-learning
-
Similarity Learning lacks a framework. So we built one
Not a full featured framework, but pytorch-metric-learning has data loaders, lossess, etc. to facilitate similarity learning: https://github.com/KevinMusgrave/pytorch-metric-learning
Disclaimer: I've made some contributions to it.
-
[R][D] VAE Embedding Space - Can we force it to learn a metric?
You can use the triplet loss together with the Gaussian prior. It will be zero centered though and the clusters are not as separated when you use the triplet loss only.There are many alternative to the triplet loss, in case it needs to be a metric: https://github.com/KevinMusgrave/pytorch-metric-learning
-
[D] Similar Image Retrieval
This repo provides the tools and examples needed to build such a model: https://github.com/KevinMusgrave/pytorch-metric-learning
What are some alternatives?
hardnet - Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
lightly - A python library for self-supervised learning on images.
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Machine-Learning-Guide - Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
affnet - Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
autogluon - Fast and Accurate ML in 3 Lines of Code
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.