towhee-io/examples
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
This tool helps you quickly build applications that analyze various types of unstructured data like images, videos, audio, and text. You input your unstructured data and it outputs insights or performs tasks like finding similar items, classifying content, or answering questions. It's designed for anyone from data scientists to researchers who need to extract meaning from complex data without extensive machine learning expertise.
520 stars. No commits in the last 6 months.
Use this if you need to build applications for tasks such as searching for similar images or videos, categorizing audio clips, predicting credit card approvals, or creating question-answering systems.
Not ideal if you're looking for a simple, pre-built application that requires no configuration or coding, as this project provides examples to build your own solutions.
Stars
520
Forks
124
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/towhee-io/examples"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
deepset-ai/haystack-tutorials
Here you can find all the Tutorials for Haystack 📓
aryn-ai/sycamore
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
MaartenGr/PolyFuzz
Fuzzy string matching, grouping, and evaluation.
unum-cloud/USearch
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C,...
towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.