toantm / keras-bdaLinks
A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toantm/pytorch-bda
☆25Updated 7 years ago
Alternatives and similar repositories for keras-bda
Users that are interested in keras-bda are comparing it to the libraries listed below
Sorting:
- ☆34Updated 8 years ago
- Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875☆21Updated 8 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- Development Repository for GPU-accelerated GBDT training☆60Updated 8 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Keras cropping layer implementation☆13Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- A Tensorflow implementation of the Tex2Vis neural network, tha applies a new StochasticLoss criterion to learn a mapping from textual des…☆18Updated 8 years ago
- An implementation of SVM+☆26Updated 8 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago
- Batch Renormalization algorithm implementation in Keras☆98Updated 6 years ago
- Collection of autoencoders written in Keras☆37Updated 9 years ago
- Automatically build the deep learning models with ENAS☆31Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆20Updated 9 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 years ago
- All My Pytorch projects reside here☆33Updated 7 years ago
- Modified version of the YellowFin optimizer for TensorFlow to work with the Keras API [not actively maintained]☆16Updated 8 years ago
- ☆16Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago