Labs Fa17
Lab notebooks for the Fall 2017 offering of Georgia Tech's CSE 6040
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Recommenders | 17,972 |  | 2 | 3 days ago | 11 | April 01, 2022 | 169 | mit | Python | |
| Best Practices on Recommendation Systems | ||||||||||
| Computervision Recipes | 9,225 | 3 months ago | 66 | mit | Jupyter Notebook | |||||
| Best Practices, code samples, and documentation for Computer Vision. | ||||||||||
| Metaflow | 7,524 |  | 1 | 25 | 18 days ago | 103 | December 04, 2023 | 296 | apache-2.0 | Python |
| :rocket: Build and manage real-life ML, AI, and data science projects with ease! | ||||||||||
| Synapseml | 4,967 | 6 | 4 days ago | 12 | November 27, 2023 | 335 | mit | Scala | ||
| Simple and Distributed Machine Learning | ||||||||||
| Machinelearningnotebooks | 3,832 | 5 months ago | 386 | mit | Jupyter Notebook | |||||
| Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft | ||||||||||
| Feathr | 1,886 | 4 | 4 months ago | 48 | June 30, 2023 | 163 | apache-2.0 | Scala | ||
| Feathr – A scalable, unified data and AI engineering platform for enterprise | ||||||||||
| Azureml Examples | 1,442 |  | 4 | 3 months ago | 17 | November 14, 2023 | 402 | mit | Jupyter Notebook | |
| Official community-driven Azure Machine Learning examples, tested with GitHub Actions. | ||||||||||
| Hopsworks | 1,041 | 3 months ago | 1 | September 11, 2019 | 12 | agpl-3.0 | Java | |||
| Hopsworks - Data-Intensive AI platform with a Feature Store | ||||||||||
| Optscale | 854 | 3 months ago | 26 | apache-2.0 | Python | |||||
| MLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and cost. | ||||||||||
| 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. | ||||||||||
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