Some coding stuff from various machine learning books
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Updated
Oct 7, 2020 - Jupyter Notebook
Some coding stuff from various machine learning books
Implementations of deep learning algorithms
Repository of all notebooks used in the GANs and VAEs event.
This repository contains notebooks showcasing various generative models, including DCGAN and VAE for anime face generation, an Autoencoder for converting photos to sketches, a captioning model using an attention mechanism for an image caption generator, and more.
Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab
TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :)
Colab notebooks exploring different Machine Learning topics.
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
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