amazon-sagemaker-local-mode VS aws-lambda-docker-serverless-inference

Compare amazon-sagemaker-local-mode vs aws-lambda-docker-serverless-inference and see what are their differences.

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amazon-sagemaker-local-mode aws-lambda-docker-serverless-inference
1 1
232 92
1.3% -
7.7 4.0
about 1 month ago about 1 month ago
Python Jupyter Notebook
MIT No Attribution MIT No Attribution
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.

amazon-sagemaker-local-mode

Posts with mentions or reviews of amazon-sagemaker-local-mode. We have used some of these posts to build our list of alternatives and similar projects.

aws-lambda-docker-serverless-inference

Posts with mentions or reviews of aws-lambda-docker-serverless-inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-27.

What are some alternatives?

When comparing amazon-sagemaker-local-mode and aws-lambda-docker-serverless-inference you can also consider the following projects:

quick-deploy - Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.

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

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

keytotext - Keywords to Sentences

nebuly - The user analytics platform for LLMs

jetson-containers - Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch

python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository

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