7 open source projects by gordicaleksa

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

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python deep-learning machine-learning pytorch style-transfer deep-learning-tutorial

2. Pytorch Gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

✭ 908

python jupyter-notebook deep-learning pytorch jupyter attention-mechanism attention

3. Pytorch Original Transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

✭ 411

python jupyter-notebook deep-learning pytorch deeplearning jupyter transformer attention-mechanism attention attention-is-all-you-need

4. Pytorch Gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

✭ 271

python deep-learning machine-learning pytorch gans deep-learning-tutorial generative-adversarial-networks

5. pytorch-neural-style-transfer-johnson

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.

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python machine-learning deep-learning pytorch style-transfer deep-learning-tutorial non-photorealistic-rendering neural-style-transfer neural-style-transfer-tutorial

6. get-started-with-JAX

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

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Jupyter Notebook machine-learning tutorial deep-learning jupyter numpy flax haiku lax jax xla optax learn-jax

7. pytorch-deepdream

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

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Jupyter Notebook python machine-learning deep-learning pytorch deepdream deep-learning-tutorial deep-dream-tutorial

1-7 of 7 user projects