Using "floyd run" to train on FloydHub Cloud GPUs - YouTube
Benchmarking FloydHub instances
A Quantitative Comparison of Algorithmic and Machine Learning Network Flow Throughput Prediction
Parallelization & checkpointing of GPU applications through program transformation by Lizandro Damián Solano Quinde A disse
FloydHub 初体验- 知乎
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities | Journal of Internet Services and Applications | Full Text
Using a Keras Deep Q-Network and a Floydhub GPU Instance to play Space Invaders
Get Started with Floydhub. Deep Learning on GPU Made Easy | by Margaret Maynard-Reid | Medium
FloydHub 初体验- 知乎
Benchmarking FloydHub instances
Classification with R
Parallelizing GPU-intensive Workloads via Multi-Queue Operations using Kompute & Vulkan | by Alejandro Saucedo | Towards Data Science
NHESS - Flood–pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study
My First Step For Deep Learning Adventure With Udacity And Coursera | by Choong Hong Cheng | Towards Data Science