Alternatives and similar repositories for tf-example-models

Users that are interested in tf-example-models are comparing it to the libraries listed below

• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆208Updated 7 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆236Updated 7 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 7 years ago
• shaohua0116 / VAE-Tensorflow
  A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
  ☆131Updated 6 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 9 years ago
• kimhc6028 / pathnet-pytorch
  PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆81Updated 8 years ago
• mgermain / MADE
  MADE: Masked Autoencoder for Distribution Estimation
  ☆104Updated 5 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆206Updated 3 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 7 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 8 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆177Updated 7 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆214Updated 8 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆78Updated 8 years ago
• HazyResearch / tanda
  Learning to Compose Domain-Specific Transformations for Data Augmentation
  ☆172Updated 3 years ago
• mirceamironenco / BayesianRecurrentNN
  Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
  ☆220Updated 7 years ago
• phreeza / tensorflow-vrnn
  A variational recurrent neural network implementation in tensorflow
  ☆104Updated 8 years ago
• bharathgs / NALU
  Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
  ☆115Updated 7 years ago
• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 7 years ago
• AmazaspShumik / Mixture-Models
  Hierarchical Mixture of Experts,Mixture Density Neural Network
  ☆45Updated 8 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 8 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 4 years ago
• bremen79 / cocob
  TensorFlow implementation of COCOB
  ☆95Updated 2 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 8 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆200Updated 7 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 3 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• henryre / pytorch-fitmodule
  Super simple fit method for PyTorch Modules
  ☆102Updated 5 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆211Updated 6 years ago
• geniki / neural-processes
  PyTorch implementation of Neural Processes
  ☆88Updated 6 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago