keras-cv
keras-nlp
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| keras-cv | keras-nlp | |
|---|---|---|
| 4 | 2 | |
| 946 | 696 | |
| 3.5% | 6.3% | |
| 9.3 | 9.4 | |
| 3 days ago | 4 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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-cv
- Keras Core: Keras for TensorFlow, Jax, and PyTorch
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Anyone attempted to convert stablediffusion tensorflow to tf lite?
Good idea, I just opened a github issue on KerasCV, tagged Lukewood :) https://github.com/keras-team/keras-cv/issues/1033
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data augmentation using keras
2.) you could use Keras if you wanted to, KerasCV offers RandomContrast and RandomBrightness: https://github.com/keras-team/keras-cv
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[P] Keras Launches a Computer Vision Extension Package
- https://github.com/keras-team/keras-cv/
keras-nlp
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Keras 3.0
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...
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Keras Core: Keras for TensorFlow, Jax, and PyTorch
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...
What are some alternatives?
stable-diffusion-tensorflow - Stable Diffusion in TensorFlow / Keras
keras-core - A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
i6_experiments
returnn - The RWTH extensible training framework for universal recurrent neural networks
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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.