distributed-ml-patterns
Machine Learning Patterns Library
A collection of code and patterns for building scalable machine learning systems using Kubernetes, TensorFlow, Kubeflow, and Argo Workflows.
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
393 stars
13 watching
36 forks
Language: Python
last commit: about 1 month ago
Linked from 4 awesome lists
argoargo-workflowsbookcloud-computingcloud-nativedata-sciencedevopsdistributed-machine-learningdistributed-systemskubeflowkuberneteslarge-scale-machine-learningmachine-learningmachine-learning-pipelinesmanning-publicationsmlopspythontensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
phdp/mlbop | The codebase provides MATLAB implementations of machine learning concepts from S. Theodoridis' book | 66 |
eugeneyan/applied-ml | Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,407 |
sahith02/machine-learning-algorithms | A comprehensive resource for machine learning and deep learning algorithms | 295 |
terrytangyuan/public-talks | Repository containing talks and supporting files on cloud-native, deep-learning, and machine learning topics | 20 |
huiwenzhang/ml-in-action | A collection of MATLAB code examples illustrating various machine learning and reinforcement learning concepts. | 89 |
open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,822 |
dask/dask-ml | A Python library for scalable machine learning using Dask alongside popular ML libraries | 907 |
mlcommons/inference | Measures the performance of deep learning models in various deployment scenarios. | 1,256 |
mostafa-samir/how-machine-learning-works | An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook | 4 |
zk-ml/research | Research on integrating machine learning with emergent runtimes to improve performance and security. | 22 |
iwang05/fluid | Federated learning algorithm to mitigate stragglers in distributed machine learning | 5 |
ryuk17/machinelearning | This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
pouyamghari/pof-mkl | An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning | 0 |
mitmath/18337 | A course project on parallel computing and scientific machine learning using Julia programming language | 226 |