688 Open source projects that are alternatives of or similar to Vq Vae

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

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Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Tensorflow implementation of adversarial auto-encoder for MNIST

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Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

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Tensorflow implementation of variational auto-encoder for MNIST

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An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

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Sparse and structured neural attention mechanisms

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Generative Adversarial Network for MNIST with tensorflow

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PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Collection of generative models in Pytorch version.

Pytorch implementation for LapSRN (CVPR2017)

Binary and Categorical Focal loss implementation in Keras.

A Simple and easy to use way to Visualise Embeddings!

Implement of Openpose use Tensorflow

Understanding emotions from audio files using neural networks and multiple datasets.

Tools for PyTorch

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Various ML/DL Resources organised at a single place.

Replicating "Understanding disentangling in β-VAE"

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Season 2 of @twosigma's artificial intelligence programming challenge

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Latex code for making neural networks diagrams

Asynchronous Distributed Hyperparameter Optimization.

To classify video into various classes using keras library with tensorflow as back-end.

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Appearance-and-Relation Networks