keras-nlp VS data-science-ipython-notebooks

Compare keras-nlp vs data-science-ipython-notebooks and see what are their differences.

keras-nlp

Modular Natural Language Processing workflows with Keras (by keras-team)

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
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keras-nlp data-science-ipython-notebooks
2 1
701 26,514
3.1% -
9.5 0.0
3 days ago about 2 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

keras-nlp

Posts with mentions or reviews of keras-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-28.
  • Keras 3.0
    4 projects | news.ycombinator.com | 28 Nov 2023
    Yes, Keras can be used to build LLMs. In fact this is one of the main use cases.

    There are some tutorials about how to do it "from scratch", like this: https://keras.io/examples/nlp/neural_machine_translation_wit...

    Otherwise, if you want to reuse an existing LLM (or just see how a large one would be implemented in practice) you can check out the models from KerasNLP. For instance, this is BERT, basically just a stack of TransformerEncoders. https://github.com/keras-team/keras-nlp/blob/master/keras_nl...

  • Keras Core: Keras for TensorFlow, Jax, and PyTorch
    5 projects | news.ycombinator.com | 11 Jul 2023
    Yes, you can check out KerasCV and KerasNLP which host pretrained models like ResNet, BERT, and many more. They run on all backends as of the latest releases (today), and converting them to be backend-agnostic was pretty smooth! It took a couple of weeks to convert the whole packages.

    https://github.com/keras-team/keras-nlp/tree/master/keras_nl...

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing keras-nlp and data-science-ipython-notebooks you can also consider the following projects:

keras-core - A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

BirdNET - Soundscape analysis with BirdNET.

i6_experiments

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

returnn - The RWTH extensible training framework for universal recurrent neural networks

sports-betting - Collection of sports betting AI tools.

keras-cv - Industry-strength Computer Vision workflows with Keras

PMapper - A tool for quickly evaluating IAM permissions in AWS.