Technology · Library

Keras

Library · Catalog tech@1

High-level deep learning API.

Matched as
  • keras

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. Keras has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.64,346 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Not published by its registries
Its packages’ registries publish no adoption figure, so there is nothing to grow.
Open models
No official models
No official model on Hugging Face, so this signal does not apply.
News
Collecting
News counts once there are 3 events across the last 60 days; it has 1.1 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of Keras’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of Keras’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
0published events that mention it
Events · 30 days
1published events that mention it
Previous 30 days
0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

Members 108repositories tagged with one of its aliases, most-starred first

  • bfelbo/DeepMoji

    State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

    Tagged kerasPython

    1.6K stars

  • AxeldeRomblay/MLBox

    MLBox is a powerful Automated Machine Learning python library.

    Tagged kerasPython

    1.5K stars

  • krasserm/super-resolution

    Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

    Tagged kerasPython

    1.5K stars

  • tjwei/GANotebooks

    wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

    Tagged kerasJupyter Notebook

    1.5K stars

  • Hironsan/anago

    Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

    Tagged kerasPython

    1.5K stars

  • faustomorales/keras-ocr

    A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

    Tagged kerasPython

    1.5K stars

  • marl/crepe

    CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

    Tagged kerasPython

    1.4K stars

  • MiteshPuthran/Speech-Emotion-Analyzer

    The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

    Tagged kerasJupyter Notebook

    1.4K stars

  • L1aoXingyu/Deep-Learning-Project-Template

    A best practice for deep learning project template architecture.

    Tagged kerasPython

    1.4K stars

  • raghakot/keras-resnet

    Residual networks implementation using Keras-1.0 functional API

    Tagged kerasPython

    1.4K stars

  • CSTR-Edinburgh/merlin

    This is now the official location of the Merlin project.

    Tagged kerasPython

    1.3K stars

  • stared/livelossplot

    Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

    Tagged kerasPython

    1.3K stars

Packages

“Is” packages are Keras itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 5the technology itself, most-adopted first

  • keras

    Multi-backend Keras

    Listed in the catalogPyPI

    Not published by PyPI
  • keras-hub

    Pretrained models for Keras.

    Published from keras-team/kerasPyPI

    Not published by PyPI
  • keras-hub-nightly

    Pretrained models for Keras.

    Published from keras-team/kerasPyPI

    Not published by PyPI
  • keras-nightly

    Multi-backend Keras

    Published from keras-team/kerasPyPI

    Not published by PyPI
  • keras-nlp

    Pretrained models for Keras.

    Published from keras-team/kerasPyPI

    Not published by PyPI

Ecosystem 15packages that depend on it, most-adopted first

  • autokeras

    AutoML for deep learning

    Depends on kerasPyPI

    Not published by PyPI
  • deepface

    A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python

    Depends on kerasPyPI

    Not published by PyPI
  • deepface-fork

    A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python

    Depends on kerasPyPI

    Not published by PyPI
  • deepfacesnap

    A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python

    Depends on kerasPyPI

    Not published by PyPI
  • keras-tuner

    A Hyperparameter Tuning Library for Keras

    Depends on kerasPyPI

    Not published by PyPI
  • neural-compressor-jax

    Repository of Intel® Neural Compressor

    Depends on kerasPyPI

    Not published by PyPI
  • pkscreener

    A Python-based stock screener for NSE, India with alerts to Telegram Channel (pkscreener)

    Depends on kerasPyPI

    Not published by PyPI
  • plexe

    An agentic framework for building ML models from natural language

    Depends on kerasPyPI

    Not published by PyPI
  • scikeras

    Scikit-Learn API wrapper for Keras.

    Depends on kerasPyPI

    Not published by PyPI
  • tensorflow

    TensorFlow is an open source machine learning framework for everyone.

    Depends on kerasPyPI

    Not published by PyPI
  • tensorflow-aarch64

    TensorFlow is an open source machine learning framework for everyone.

    Depends on kerasPyPI

    Not published by PyPI
  • tensorflow-cpu

    TensorFlow is an open source machine learning framework for everyone.

    Depends on kerasPyPI

    Not published by PyPI

Latest news the latest event that mention it