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#

distributed-ml

Here are 14 public repositories matching this topic...

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

  • UpdatedAug 18, 2024
  • Jupyter Notebook
superdupermlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

  • UpdatedAug 16, 2024
  • Jupyter Notebook
mlinfra

deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command

  • UpdatedJan 28, 2025
  • Python
NErlNet

Dynamic resources changes for multi-dimensional parallelism training

  • UpdatedAug 22, 2025
  • Go

A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training

  • UpdatedFeb 23, 2023
  • C++

🍎👉🍏 Everything you need in order to get started building distributed machine learning with Apple's MLX

  • UpdatedAug 9, 2025
  • Python

Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.

  • UpdatedMay 31, 2021
  • Jupyter Notebook

Elixir SDK for the Tinker ML platform—LoRA training, sampling, and service orchestration built on OTP, Finch, and telemetry.

  • UpdatedDec 15, 2025
  • Elixir

Caffe: a fast open framework for deep learning. Caffe-pslite: run deep learning in a cluster with ps-lite (including SSP model)

  • UpdatedOct 11, 2018
  • C++

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.

  • UpdatedFeb 8, 2025
  • Python

Rust fork of RL4Sys; Unstable Single-Agent Distributed Reinforcement Learning Framework written in Rust & exported to Python

  • UpdatedOct 1, 2025
  • Rust

Akka-based framework for distributed ML on fog

  • UpdatedSep 21, 2022
  • Jupyter Notebook

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