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https://github.com/minhtran241/ml-dl-llm-genai

Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.
https://github.com/minhtran241/ml-dl-llm-genai

deep-learning generative-ai llm machine-learning paper-implementations pytorch scikit-learn

Last synced: 7 days ago
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Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.

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# PyTorch Implementations for ML/DL/GenAI

A repository showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.

## Available Implementations

- [PyTorch Fundamentals](./Pytorch): A collection of PyTorch fundamentals.
- [ResNet](./ResNet): A PyTorch implementation of ResNet (Residual Neural Network).
- [RNN](./RNN): A PyTorch implementation of RNN (Recurrent Neural Network).
- [GAN](GAN.ipynb): A PyTorch implementation of GAN (Generative Adversarial Network).
- [Autoencoder](AE.ipynb): A PyTorch implementation of Autoencoder.
- [Variational Autoencoder](VAE.ipynb): A PyTorch implementation of Variational Autoencoder.
- [Vector Quantized Generative Adversarial Network](./VQ-GAN): A PyTorch implementation of VQGAN (Vector Quantized Generative Adversarial Network).
- [Diffusion Models](./Diffusion): A PyTorch implementation of Diffusion Models.