angetato / Optimizers-for-Tensorflow
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
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- A pytorch implementation of https://arxiv.org/abs/1904.09925☆16Updated 5 years ago
- A Keras implementation of Adaptive Softmax☆7Updated 6 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Custom Optimizer on Keras☆24Updated 5 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- Automatic Query Image Disambiguation (AID)☆11Updated 7 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 4 years ago
- Meta-SGD Algorithms Implementation☆22Updated 9 months ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Updated 2 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 5 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 5 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆12Updated 6 years ago
- Keras implementation of NovoGrad☆20Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Chainer implementation of the paper Robust Conditional Generative Adversarial Networks☆15Updated 4 years ago
- Codes for Category-aware Generative Adversarial Networks (AAAI 2020)☆18Updated 4 years ago