Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
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Feb 27, 2024 - Jupyter Notebook
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vae
Here are 11 public repositories matching this topic...
Colab notebooks exploring different Machine Learning topics.
nlp cassandra julia pytorch named-entity-recognition colab vae probabilistic-programming causality pymc3 causal-inference audio-processing julialang pyro trax tensorflow-js pyro-ppl rapidsai colab-notebooks
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Apr 2, 2022 - Jupyter Notebook
Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab
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Feb 8, 2025 - Jupyter Notebook
TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :)
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May 27, 2023 - Jupyter Notebook
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
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Jun 5, 2023 - Python
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
python machine-learning deep-learning notebook tensorflow cnn recurrent-neural-networks ipynb rnn vae convolutional-neural-networks convolutional-neural-network rnn-tensorflow variational-autoencoder recurrent-neural-network cnn-tensorflow
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Jun 26, 2018 - Jupyter Notebook
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.
tensorflow image-processing cnn generative-adversarial-network dcgan generative-model autoencoder vae generative-art image-captioning image-generation sketches variational-autoencoder generative-models upsample photo-to-sketch image-caption-generator deep-convolutional-gan anime-face-generation generative-ai
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Oct 31, 2023 - Jupyter Notebook
Repository of all notebooks used in the GANs and VAEs event.
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Oct 4, 2019 - Jupyter Notebook
Some coding stuff from various machine learning books
machine-learning reinforcement-learning deep-learning q-learning regression cnn mnist classification vae sarsa mlp td-learning iris-dataset variational-autoencoder labelled-faces-in-the-wild
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Oct 7, 2020 - Jupyter Notebook
Implementations of deep learning algorithms
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Jan 8, 2019 - Jupyter Notebook
This notebook aims to identify anomalous patterns within a time series dataset by building models trained on normal activity data and testing them on both normal and (fall detection).
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Sep 18, 2024 - Jupyter Notebook
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