NVIDIA/DIGITS

Deep Learning GPU Training System

Archived
51
/ 100
Established

Provides a web-based interface for dataset preparation, model training, and visualization across Caffe, TensorFlow, and Torch frameworks, with support for fine-tuning pretrained models and a REST API for programmatic access. Distributes training across NVIDIA GPUs while handling data preprocessing from local or S3 sources. Now in maintenance mode; NVIDIA recommends TAO Toolkit for new vision AI development.

4,181 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

4,181

Forks

1,372

Language

HTML

License

BSD-3-Clause

Category

platform-optimized-wheels

Last pushed

Jan 07, 2025

Commits (30d)

0

GitHub
Platform-Optimized Wheels · 56 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NVIDIA/DIGITS"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Related frameworks

tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

100

microsoft/tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

79

hidet-org/hidet

An open-source efficient deep learning framework/compiler, written in python.

61

KomputeProject/kompute

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics...

61

NVIDIA/nvshmem

NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM...

58

Explore ML Frameworks

All categories Trending ML Framework directory Insights