angetato / Optimizers-for-TensorflowLinks
Adam, NAdam and AAdam optimizers
☆23Updated 6 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 7 years ago
- Custom Optimizer on Keras☆24Updated 5 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Binary Stochastic Neurons in PyTorch☆57Updated 7 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 6 years ago
- Python way to Read/Write TFRecords☆65Updated 7 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 6 years ago
- keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)☆71Updated 7 years ago
- Curriculum Learning - Tensorflow☆40Updated 7 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Super simple fit method for PyTorch Modules☆102Updated 5 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Keras implementation of NovoGrad☆20Updated 5 years ago
- Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"☆97Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆20Updated 3 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 3 years ago
- Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect" in pytorch☆37Updated 6 years ago
- fast.ai starter kit for Google Landmark Retrieval 2019 challenge☆61Updated 6 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆20Updated 7 years ago
- Swish Activation - PyTorch CUDA Implementation☆37Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 8 years ago
- A pytorch implementation of https://arxiv.org/abs/1904.09925☆16Updated 6 years ago
- Variational Information Bottleneck☆16Updated 7 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Implementation of IndRNN in Keras☆67Updated 5 years ago
- Simple Summary of CNN Architecture☆34Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated 2 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago