PulmoLens VS video-super-resolution-youtube

Compare PulmoLens vs video-super-resolution-youtube and see what are their differences.

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PulmoLens video-super-resolution-youtube
3 1
10 13
- -
5.3 1.8
about 1 year ago about 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

PulmoLens

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

video-super-resolution-youtube

Posts with mentions or reviews of video-super-resolution-youtube. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PulmoLens and video-super-resolution-youtube you can also consider the following projects:

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

hugging-face-workshop - A 90-minute hands on workshop about Hugging Face on SageMaker.

SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

datascience-template - Data science project template

SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!