Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Low-code framework for building custom LLMs, neural networks, and other AI models
Fast and Accurate ML in 3 Lines of Code
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome