liyu95 / NN_decision_boundaryLinks
On the decision boundary of deep neural networks
☆38Updated 7 years ago
Alternatives and similar repositories for NN_decision_boundary
Users that are interested in NN_decision_boundary are comparing it to the libraries listed below
Sorting:
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆35Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 3 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 8 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 8 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 6 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- ☆46Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Proceedings of ICML 2018☆39Updated 4 months ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 8 years ago
- Related materials for robust and explainable machine learning☆48Updated 7 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 8 years ago
- PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton☆170Updated 7 years ago
- ☆24Updated 9 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 7 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 6 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago