Text2Poster-ICASSP-22 VS Machine-Learning-Guide

Compare Text2Poster-ICASSP-22 vs Machine-Learning-Guide and see what are their differences.

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Text2Poster-ICASSP-22 Machine-Learning-Guide
1 6
192 441
- -
4.1 6.2
5 months ago 4 months ago
Python Python
MIT License -
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.

Text2Poster-ICASSP-22

Posts with mentions or reviews of Text2Poster-ICASSP-22. We have used some of these posts to build our list of alternatives and similar projects.

Machine-Learning-Guide

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

What are some alternatives?

When comparing Text2Poster-ICASSP-22 and Machine-Learning-Guide you can also consider the following projects:

hardnet - Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

pytorch-forecasting - Time series forecasting with PyTorch

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

prtm - Deep learning for protein science

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

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

affnet - Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

pytorch-who-is-that-pokemon - All 151 classes pokemon Gen1 classification with torchvision model.

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