Lambda Packs
Precompiled packages for AWS Lambda
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gluonts | 4,288 |  | 16 | a day ago | 107 | December 07, 2023 | 385 | apache-2.0 | Python | |
| Probabilistic time series modeling in Python | ||||||||||
| Artificial Intelligence Deep Learning Machine Learning Tutorials | 3,436 | 10 months ago | 152 | other | Python | |||||
| A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more. | ||||||||||
| Sagemaker Python Sdk | 1,994 |  | 14 | 76 | 3 months ago | 554 | November 30, 2023 | 272 | apache-2.0 | Python |
| A library for training and deploying machine learning models on Amazon SageMaker | ||||||||||
| Lambda Packs | 1,100 | 5 months ago | 13 | mit | Python | |||||
| Precompiled packages for AWS Lambda | ||||||||||
| Deep Learning Containers | 881 | 3 months ago | 126 | other | Python | |||||
| AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. | ||||||||||
| Runhouse | 667 | 3 months ago | 38 | apache-2.0 | Python | |||||
| Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra. | ||||||||||
| Ml_sagemaker_studies | 340 | 2 years ago | mit | Jupyter Notebook | ||||||
| Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker. | ||||||||||
| Adaptdl | 339 |  | 3 | a year ago | 12 | April 20, 2022 | 23 | apache-2.0 | Python | |
| Resource-adaptive cluster scheduler for deep learning training. | ||||||||||
| Cartoonify | 313 | a year ago | 3 | mit | Jupyter Notebook | |||||
| Deploy and scale serverless machine learning app - in 4 steps. | ||||||||||
| Yolov5 Pip | 273 |  | 23 | 6 months ago | 69 | October 16, 2023 | 2 | gpl-3.0 | Python | |
| Packaged version of ultralytics/yolov5 + many extra features | ||||||||||
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