hydra-hoard/hydra
A decentralised application that creates high quality machine learning datasets
This project helps machine learning practitioners create high-quality datasets for their models. It takes raw data and processes it into ready-to-use, robust datasets suitable for training, leveraging a decentralized network to improve data quality. Data scientists, ML engineers, and researchers who need reliable data for their AI/ML projects would find this useful.
No commits in the last 6 months.
Use this if you need to generate high-quality, curated machine learning datasets and want to leverage a distributed network for data collection and validation.
Not ideal if you already have perfectly clean and labeled datasets or if you're looking for a tool purely for model training rather than data preparation.
Stars
13
Forks
3
Language
Go
License
—
Category
Last pushed
Jan 22, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hydra-hoard/hydra"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qualcomm/ai-hub-models
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized...
petuum/adaptdl
Resource-adaptive cluster scheduler for deep learning training.
zszazi/Deep-learning-in-cloud
List of Deep Learning Cloud Providers
lincc-frameworks/hyrax
Hyrax - A low-code framework for rapid experimentation with ML & unsupervised discovery in astronomy
openhackathons-org/gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI