Code Monkey home page Code Monkey logo

models's Introduction

Logo

Welcome to the Model Garden for TensorFlow

The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development.

Directory Description
official • A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research • A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community • A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit • A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).

Announcements

Date News
July 10, 2020 TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020 SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020 Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020 Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020 MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020 DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020 Introducing the Model Garden for TensorFlow 2 (Tweet)

Contributions

help wanted:paper implementation

If you want to contribute, please review the contribution guidelines.

License

Apache License 2.0

models's People

Contributors

nealwu avatar saberkun avatar tensorflower-gardener avatar MarkDaoust avatar tfboyd avatar pkulzc avatar cshallue avatar syiming avatar kmindspark avatar chenGitHuber avatar derekjchow avatar tombstone avatar lukaszkaiser avatar guptapriya avatar lamberta avatar jaeyounkim avatar haoyuz avatar reedwm avatar asimshankar avatar martinwicke avatar yeqingli avatar qlzh727 avatar allenwang28 avatar YknZhu avatar jch1 avatar karmel avatar bousmalis avatar joel-shor avatar a-dai avatar zongweiz avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.