🗂 500+ Cheat Sheets on Machine Learning

This repository contains materials on virtually everything: from basic algorithms and mathematics to neural networks, transformers, and advanced Deep Learning.

Each cheat sheet includes theory, formulas, Python examples, and tips on how to apply them.

⛓ You can find it here
https://github.com/gurovic/MLCheatSheets

#MachineLearning #DeepLearning #Python #DataScience #NeuralNetworks #AI

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Write NumPy code in the familiar way, and then run it on GPUs and TPUs. Automatic differentiation and data batching will be handled automatically, without requiring any extra effort from you.

- Automatically compute derivatives of standard Python and NumPy functions.
- Compile pure functions using jit to run them on hardware accelerators.
- Combine grad, jit, and vmap in any order and scale your computations across multiple devices.

https://github.com/jax-ml/jax

https://t.iss.one/MachineLearning9