Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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Mar 24, 2024 - Python
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rbm
Here are 123 public repositories matching this topic...
The deeplearning algorithms implemented by tensorflow
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Feb 27, 2019 - Jupyter Notebook
Boltzmann Machines in TensorFlow with examples
machine-learning deep-learning tensorflow keras restricted-boltzmann-machine rbm dbm boltzmann-machines mcmc variational-inference gibbs-sampling ais sklearn-compatible tensorflow-models pcd contrastive-divergence-algorithm energy-based-model annealed-importance-sampling
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Nov 5, 2021 - Jupyter Notebook
NeuPy is a Tensorflow based python library for prototyping and building neural networks
deep-neural-networks deep-learning neural-network tensorflow som artificial-neural-networks rbm deeplearning neupy sofm hopfield lvq boltzmann-machine pnn
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Nov 18, 2024 - Python
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
c-plus-plus machine-learning performance cpu deep-learning cpp gpu cpp14 cpp11 artificial-neural-networks rbm convolutional-neural-networks
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Feb 9, 2024 - C++
Restricted Boltzmann Machines (RBMs) in PyTorch
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Jun 29, 2018 - Python
Unsupervised learning and generative models in python/pytorch.
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Nov 21, 2022 - Python
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
python machine-learning deep-neural-networks kernel deep-learning neural-network mnist pca logistic-regression rbm gaussian-processes data-augmentation k-nn
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Oct 9, 2019 - Jupyter Notebook
The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.
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Sep 22, 2024 - Python
Machine Learning Library, written in J
learning machine-learning deep-learning clustering lstm gaussian-mixture-models ensemble-learning rbm convolutional-neural-networks j k-means gaussian-processes principal-component-analysis self-organizing-map multilayer-perceptron-network hierarchical-clustering knn-classifier restricted-boltzmann-machines
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Nov 29, 2023 - J
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
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Nov 19, 2017 - Python
A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow
books tensorflow cuda python3 neural-networks rbm recommender-system hopfield-network geoffrey-hinton restricted-boltzmann-machines book-recommender
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Feb 3, 2019 - Jupyter Notebook
Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
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Jul 17, 2017 - Jupyter Notebook
Tensorflow Examples
machine-learning deep-learning tensorflow linear-regression cnn mnist ae rnn autoencoder logistic-regression rbm mlp nearest-neighbors multilayer-perceptron-network tf grbm brnn drnn sparseae sparse-autoencoder
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May 11, 2017 - Python
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Apr 11, 2019 - Python
🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)
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Jul 9, 2018 - Jupyter Notebook
Deep Learning Models implemented in python.
python deep-learning sda models cnn restricted-boltzmann-machine rbm deeplearning mlp multi-layer-perceptron da deep-belief-nets denoising-autoencoders
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Mar 19, 2017 - Python
Train and sample Restricted Boltzmann machines in Julia
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Jan 13, 2025 - Julia
Millions of businesses rely on SMS to communicate with mobile consumers. Credit card fraud alerts, flight status updates, and package delivery notifications are common examples of business-to-consumer SMS. RCS (Rich Communication Services) upgrades SMS with branding, rich media, interactivity and analytics. With RCS, businesses can bring branded…
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Nov 8, 2024 - HTML
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