taki0112 / AMSGrad-Tensorflow
Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)
☆104Updated 6 years ago
Alternatives and similar repositories for AMSGrad-Tensorflow:
Users that are interested in AMSGrad-Tensorflow are comparing it to the libraries listed below
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"☆97Updated 5 years ago
- VQ-VAE implementation / pytorch☆180Updated 7 years ago
- Keras implementation of Wasserstein GAN. Modified from the ACGAN example.☆39Updated 8 years ago
- Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)☆150Updated 6 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- ☆68Updated 7 years ago
- This is the project for LS-GAN (Loss-Sensitive GAN)☆213Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)☆46Updated 8 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 7 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- ☆48Updated 6 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…☆364Updated 6 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆29Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)☆250Updated 7 years ago
- Sparse and structured neural attention mechanisms☆223Updated 4 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)☆110Updated 3 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago