Metadata-Version: 2.1
Name: finetuner
Version: 0.0.3.dev32
Summary: Finetuner allows one to finetune any deep neural network for better embedding on search tasks
Home-page: https://github.com/jina-ai/finetuner/
Author: Jina AI
Author-email: hello@jina.ai
License: Apache 2.0
Download-URL: https://github.com/jina-ai/finetuner/tags
Project-URL: Documentation, https://finetuner.jina.ai
Project-URL: Source, https://github.com/jina-ai/finetuner/
Project-URL: Tracker, https://github.com/jina-ai/finetuner/issues
Description: <p align="center">
        <img src="https://github.com/jina-ai/finetuner/blob/main/docs/_static/logo-light.svg?raw=true" alt="Finetuner logo: Finetuner allows one to finetune any deep Neural Network for better embedding on search tasks. It accompanies Jina to deliver the last mile of performance-tuning for neural search applications." width="150px">
        </p>
        
        
        <p align="center">
        <b>Finetuning any deep neural network for better embedding on neural search tasks</b>
        </p>
        
        <p align=center>
        <a href="https://pypi.org/project/finetuner/"><img src="https://github.com/jina-ai/jina/blob/master/.github/badges/python-badge.svg?raw=true" alt="Python 3.7 3.8 3.9" title="Finetuner supports Python 3.7 and above"></a>
        <a href="https://pypi.org/project/finetuner/"><img src="https://img.shields.io/pypi/v/finetuner?color=%23099cec&amp;label=PyPI&amp;logo=pypi&amp;logoColor=white" alt="PyPI"></a>
        <a href="https://slack.jina.ai"><img src="https://img.shields.io/badge/Slack-1.8k%2B-blueviolet?logo=slack&amp;logoColor=white"></a>
        </p>
        
        <!-- start elevator-pitch -->
        
        Finetuner allows one to tune the weights of any deep neural network for better embedding on search tasks. It accompanies [Jina](https://github.com/jina-ai/jina) to deliver the last mile of performance-tuning for neural search applications.
        
        🔱 **Powerful yet intuitive**: all you need is `finetuner.fit()`, a one-liner that unlocks rich features such as siamese/triplet architecture, interactive labeling, weight freezing, dimensionality reduction.
        
        ⚛️ **Framework-agnostic**: promise an identical user experience on [Pytorch](https://pytorch.org/), [Keras](https://keras.io/) or [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) deep learning backends. 
        
        🧈 **Jina integration**: buttery smooth integration with Jina, reducing the cost of context-switch between experimenting and production.
        
        <!-- end elevator-pitch -->
        
        ## Install
        
        Make sure you have Python 3.7+ and one of Pytorch, Keras or PaddlePaddle installed on Linux/MacOS.
        
        ```bash
        pip install finetuner
        ```
        
        
        ## [Documentation](https://finetuner.jina.ai)
        
Keywords: jina cloud-native neural-search query search index elastic neural-network encoding embedding serving docker container image video audio deep-learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Unix Shell
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
