Renate
sagemaker-python-sdk
| Renate | sagemaker-python-sdk | |
|---|---|---|
| 1 | 1 | |
| 265 | 2,048 | |
| 0.8% | 0.8% | |
| 8.6 | 9.7 | |
| 4 months ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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Renate
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Renate: A Library for Real-World Continual Learning
Continual learning enables the incremental training of machine learning models on non-stationary data streams.While academic interest in the topic is high, there is little indication of the use of state-of-the-art continual learning algorithms in practical machine learning deployment. This paper presents Renate, a continual learning library designed to build real-world updating pipelines for PyTorch models. We discuss requirements for the use of continual learning algorithms in practice, from which we derive design principles for Renate. We give a high-level description of the library components and interfaces. Finally, we showcase the strengths of the library by presenting experimental results. Renate may be found at https://github.com/awslabs/renate.
sagemaker-python-sdk
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AWS Sagemaker: can you utilize Asynchronous Inference with a Pipeline Model?
Not sure why they didn't include that in the SDK. You could create an issue: https://github.com/aws/sagemaker-python-sdk/issues
What are some alternatives?
gluonts - Probabilistic time series modeling in Python
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
zamba - A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
robot - Functions and classes for gradient-based robot motion planning, written in Ivy.
sagemaker-distribution - A set of Docker images that include popular frameworks for machine learning, data science and visualization.
sagemaker-tensorflow-training-toolkit - Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.