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

  • yongzhuo/Keras-TextClassification

    中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

    Tagged kerasPython

    1.8K stars

  • ScottfreeLLC/AlphaPy

    Python AutoML for Trading Systems and Sports Betting

    Tagged kerasPython

    1.8K stars

  • kyleskom/NBA-Machine-Learning-Sports-Betting

    NBA sports betting using machine learning

    Tagged kerasPython

    1.7K stars

  • abdulfatir/twitter-sentiment-analysis

    Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

    Tagged kerasPython

    1.7K stars

  • ClimbsRocks/auto_ml

    [UNMAINTAINED] Automated machine learning for analytics & production

    Tagged kerasPython

    1.7K stars

  • amir-abdi/keras_to_tensorflow

    General code to convert a trained keras model into an inference tensorflow model

    Tagged kerasPython

    1.6K stars

  • autonomio/talos

    Hyperparameter Experiments with TensorFlow and Keras

    Tagged kerasPython

    1.6K stars

  • chandrikadeb7/Face-Mask-Detection

    Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

    Tagged kerasJupyter Notebook

    1.6K stars

  • OsciiArt/DeepAA

    make ASCII Art by Deep Learning

    Tagged kerasPython

    1.6K stars

  • tensorflow/model-optimization

    A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

    Tagged kerasPython

    1.6K stars

  • maxpumperla/elephas

    Distributed Deep learning with Keras & Spark

    Tagged kerasPython

    1.6K stars

  • vlawhern/arl-eegmodels

    This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

    Tagged kerasPython

    1.6K 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

  • tensorflow-cpu-aws

    TensorFlow is an open source machine learning framework for everyone.

    Depends on kerasPyPI

    Not published by PyPI
  • tensorflowasr

    Almost State-of-the-art Automatic Speech Recognition using Tensorflow 2

    Depends on kerasPyPI

    Not published by PyPI
  • tf-nightly

    TensorFlow is an open source machine learning framework for everyone.

    Depends on keras-nightlyPyPI

    Not published by PyPI

Latest news the latest event that mention it