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Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Python 100.00%
numpy-model neural-network gan vae deep-learning machine-learning convolutional-neural-network generative-adversarial-network variational-autoencoder autoencoder

numpy-nn-model's Introduction

Hi there 👋

Welcome to my GitHub profile! I'm passionate about ML. Here you'll find a collection of my projects, contributions, and explorations in the world of Machine Learning.

🌱 Tech Stack

I work with a range of technologies and tools, including:

📫 Contact Me

Connect with me on Linkedin Connect with me on Telegram

Feel free to connect with me on the social media. I'm always open to interesting discussions, collaboration, and new opportunities!

🌐 Website

Check out my personal website here for more information about me and my projects.

🤗 Contributions

Contributed to the huggingface/cookbook and authored of the "Images Interpolation with Stable Diffusion" Notebook.
Here is the Link to Hugging Face post.

🌶️ Currently working at

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numpy-nn-model's Issues

About Learning Rate

Where is Learning Rate,why i can't see it in your codes ?

Sorry i find it , thanks a lot。

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