PulmoLens VS amazon-sagemaker-examples

Compare PulmoLens vs amazon-sagemaker-examples and see what are their differences.

PulmoLens

aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁 (by akkik04)

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. (by awslabs)
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PulmoLens amazon-sagemaker-examples
3 17
10 9,536
- 1.0%
5.3 9.1
about 1 year ago 3 days 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.

amazon-sagemaker-examples

Posts with mentions or reviews of amazon-sagemaker-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-27.

What are some alternatives?

When comparing PulmoLens and amazon-sagemaker-examples you can also consider the following projects:

video-super-resolution-youtube

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

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

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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.

sp-api-sdk - Amazon Selling Partner SPI - PHP SDKs

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!

Popular-RL-Algorithms - PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

sagemaker-studio-auto-shutdown-extension

Hello-AWS-Data-Services - AWS Data/MLServices sample code & notes for my LinkedIn Learning courses