Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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Updated
Mar 24, 2024 - Python
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
The deeplearning algorithms implemented by tensorflow
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Boltzmann Machines in TensorFlow with examples
Restricted Boltzmann Machines (RBMs) in PyTorch
Unsupervised learning and generative models in python/pytorch.
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
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.
.NET Standard SDK to send messages with CM.com
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Machine Learning Library, written in J
Deep Learning Models implemented in python.
Hands-on in-person workshop for Deep Learning with TensorFlow
Tensorflow Examples
Javascript SDK to send messages with CM.com
Restricted Boltzmann Machines for Collaborative Filtering in Tensorflow
Tensorflow Implementation of RBM
A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow
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