adansons/base
Adansons Base is a data programming tool for error-analysis of training results. It organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps to find low-quality data by using the training results and improves AI performance.
Adansons Base helps AI practitioners improve model performance by better organizing their raw, unstructured data and training results. It allows you to import raw files and existing metadata, then filter and combine them to create new, high-quality datasets. This is ideal for machine learning engineers, data scientists, or AI researchers who need to curate specific datasets for model training and error analysis.
No commits in the last 6 months.
Use this if you need to efficiently manage unstructured data, integrate diverse metadata sources, and create tailored datasets for training or evaluating AI models.
Not ideal if you primarily work with structured data or only need basic data storage without advanced metadata management and dataset creation features.
Stars
28
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 10, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/adansons/base"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
oracle/tribuo
Tribuo - A Java machine learning library
o19s/elasticsearch-learning-to-rank
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Waikato/meka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
Waikato/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine...
allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.