python-machine-learning-book-3rd-edition VS aws-lambda-docker-serverless-inference

Compare python-machine-learning-book-3rd-edition vs aws-lambda-docker-serverless-inference and see what are their differences.

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python-machine-learning-book-3rd-edition aws-lambda-docker-serverless-inference
3 1
4,122 87
- -
0.0 0.0
5 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.


Posts with mentions or reviews of python-machine-learning-book-3rd-edition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-07.


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 python-machine-learning-book-3rd-edition and aws-lambda-docker-serverless-inference 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.

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

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

keytotext - Keywords to Sentences

linear-tree - A python library to build Model Trees with Linear Models at the leaves.

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

amazon-transcribe-output-word-document - An Amazon Transcribe demo to produce a Microsoft Word document containing the turn-by-turn transcription of the audio. This will include additional metadata depending upon the options selected, such as caller sentiment, category identification and issue detection

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

handson-ml - ⛔️ DEPRECATED – See instead.

predict-subreddit - NLP model that predicts subreddit based on the title of a post

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn