{"data":{"full_name":"Kritim708/multi-gpu-deep-learning-nvidia-workshop","name":"multi-gpu-deep-learning-nvidia-workshop","description":"This repository contains a project I created as part of the NVIDIA workshop on Data Parallelism. It features an implementation of multi-GPU training of a deep neural network using PyTorch, demonstrating how to distribute data across multiple GPUs for faster and more efficient model training.","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"distributed-training-frameworks","last_pushed_at":"2025-11-30T03:52:13+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":6.0,"adoption_score":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":15.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-11T13:57:33.330417+00:00"}}