ml-distributed-training

18520339

Reduce the training time of CNNs by leveraging the power of multiple GPUs in 2 approaches, Multi-workers & Parameter Sever Training using TensorFlow 2

distributed

View on GitHub Website

12 Stars

3 Forks

12 Watchers

Jupyter Notebook Language

Cost to Build

$38.8K

Market Value

$53.8K

How is this calculated?

Growth over time

2 data points · 2022-11-01 → 2025-09-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about ml-distributed-training

Question copied to clipboard

What is the 18520339/ml-distributed-training GitHub project? Description: "Reduce the training time of CNNs by leveraging the power of multiple GPUs in 2 approaches, Multi-workers & Parameter Sever Training using TensorFlow 2". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone ml-distributed-training

Clone via HTTPS

git clone https://github.com/18520339/ml-distributed-training.git

Clone via SSH

[email protected]:18520339/ml-distributed-training.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the ml-distributed-training issue tracker:

Open GitHub Issues

Similar to ml-distributed-training

tensorflow CNTK phoenix diaspora Qix handson-ml LightGBM dgraph redisson cat xxl-job server shardingsphere-elasticjob ray scrapy-redis h2o-3 catboost Sia hazelcast oklog haipproxy meshbird crate qTox onyx nile.js sandglass mangos-v1 vernemq DotnetSpider