GitHub topics: distributed-ml
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Language: Jupyter Notebook - Size: 7.16 MB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 3,097 - Forks: 548

superduper-io/superduper
Superduper: End-to-end framework for building custom AI applications and agents.
Language: Python - Size: 73.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5,057 - Forks: 494

GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Language: Jupyter Notebook - Size: 3.82 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 38,544 - Forks: 6,110

DaveAldon/Distributed-ML-with-MLX
🍎👉🍏 Everything you need in order to get started building distributed machine learning with Apple's MLX
Language: Python - Size: 32.6 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

leondavi/NErlNet
Nerlnet is a framework for research and development of distributed machine learning models on IoT
Language: Python - Size: 66 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 46 - Forks: 8

subacocherozin/tenplex
Dynamic resources changes for multi-dimensional parallelism training distributed-ml, dynamic-resources
Language: Go - Size: 213 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

mlinfra-io/mlinfra
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
Language: Python - Size: 16.5 MB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 108 - Forks: 16

Devasish2536/Distributed-ML-with-MLX
🍎👉🍏 Everything you need in order to get started building distributed machine learning with Apple's MLX
Language: Python - Size: 32.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

its-kunal/recommendation-systems
This project demonstrates how to build a recommendation system using Apache Spark for distributed data processing, Python for machine learning, and common data science libraries. It uses the Alternating Least Squares (ALS) algorithm for collaborative filtering.
Language: Python - Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kungfu-team/tenplex
Dynamic resources changes for multi-dimensional parallelism training
Language: Go - Size: 521 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 1

aniket-mish/emoai
This repo includes an end-to-end implementation of a production ML app(detecting emotions using text) with a distributed ML framework, Ray
Language: Jupyter Notebook - Size: 62.5 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

cloud-and-smart-labs/akka-framework-for-dist-ml
Akka-based framework for distributed ML on fog
Language: Jupyter Notebook - Size: 401 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

alexrenz/AdaPM
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
Language: C++ - Size: 2.41 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 8

siddharthdivi/Unifying-Distillation-with-Personalization-in-Federated-Learning
Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.
Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 3

XinYao1994/caffe Fork of BVLC/caffe
Caffe: a fast open framework for deep learning. Caffe-pslite: run deep learning in a cluster with ps-lite (including SSP model)
Language: C++ - Size: 64.1 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
