angetato / Optimizers-for-TensorflowLinks
Adam, NAdam and AAdam optimizers
☆23Updated 5 years ago
Alternatives and similar repositories for Optimizers-for-Tensorflow
Users that are interested in Optimizers-for-Tensorflow are comparing it to the libraries listed below
Sorting:
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- ☆23Updated 4 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Python scripts to facilitate easy working☆11Updated 11 months ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆45Updated 4 years ago
- Meta-SGD Algorithms Implementation☆22Updated 10 months ago
- Neural Deconvolutions in Tensorflow☆12Updated 5 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)☆26Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- ☆13Updated 7 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Updated 2 years ago
- Keras Implementation of SparseNets☆23Updated 7 years ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆31Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- ☆34Updated 6 years ago
- Rotational Unit of Memory☆34Updated 6 years ago
- AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks☆42Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- Chainer implementation of the paper Robust Conditional Generative Adversarial Networks☆15Updated 4 years ago
- Pytorch implementation of "Estimating the Success of Unsupervised Image to Image Translation" ECCV 2018☆18Updated 6 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- ☆13Updated 7 years ago