VigneshSrinivasan10 / interprettensor
☆100Updated 6 years ago
Alternatives and similar repositories for interprettensor:
Users that are interested in interprettensor are comparing it to the libraries listed below
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆71Updated 8 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆331Updated 2 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆223Updated 4 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 6 years ago
- ☆133Updated 5 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆78Updated 7 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 7 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Implementations of some popular Saliency Maps in Keras☆165Updated 5 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 5 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- ☆125Updated 3 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆128Updated 6 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Gradient-based hyperparameter optimization package with TensorFlow☆51Updated 5 years ago
- Active Learning on Image Data using Bayesian ConvNets☆137Updated 8 years ago
- Related materials for robust and explainable machine learning☆47Updated 7 years ago
- Tensorflow Implementation of Adversarial Attack to Capsule Networks☆173Updated 7 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 3 years ago
- Experiments for AAAI anchor paper☆62Updated 7 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆142Updated 2 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆217Updated 6 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- ☆141Updated 7 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆67Updated 10 years ago