angetato / Custom-Optimizer-on-KerasLinks
Custom Optimizer on Keras
☆24Updated 5 years ago
Alternatives and similar repositories for Custom-Optimizer-on-Keras
Users that are interested in Custom-Optimizer-on-Keras are comparing it to the libraries listed below
Sorting:
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Several implementations of the kernel-based activation functions☆63Updated 6 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 4 years ago
- ☆25Updated 3 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…☆24Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 4 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 6 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- ☆61Updated 2 years ago
- ☆26Updated 6 years ago
- Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an …☆22Updated 3 years ago
- Proceedings of ICML 2019☆33Updated 3 months ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 5 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 3 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 7 years ago
- ☆55Updated 4 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 6 years ago
- ☆71Updated 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆54Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.☆133Updated 5 years ago
- Population Based Training of Neural Network implemented in Keras☆35Updated 2 years ago
- The Singular Values of Convolutional Layers☆72Updated 7 years ago