MAGIST-Algorithm
keras-nlp
| MAGIST-Algorithm | keras-nlp | |
|---|---|---|
| 1 | 2 | |
| 5 | 701 | |
| - | 3.1% | |
| 3.8 | 9.5 | |
| 9 months ago | 5 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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MAGIST-Algorithm
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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?
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
keras-core - A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.
i6_experiments
contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
returnn - The RWTH extensible training framework for universal recurrent neural networks
ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
keras-cv - Industry-strength Computer Vision workflows with Keras
IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.
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.