hiranumn / IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
☆217Updated 6 years ago
Alternatives and similar repositories for IntegratedGradients:
Users that are interested in IntegratedGradients are comparing it to the libraries listed below
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- Extremely simple one-shot learning in Python☆182Updated 8 years ago
- Snapshot Ensemble in Keras☆306Updated 7 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆265Updated 5 years ago
- Implementations of some popular Saliency Maps in Keras☆165Updated 5 years ago
- CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.☆112Updated 4 years ago
- ☆145Updated 7 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆246Updated 7 years ago
- Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of s…☆221Updated 7 years ago
- Your every day Keras toolbox.☆76Updated 6 years ago
- An implementation of the Neural Turing Machine as a keras recurrent layer.☆139Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆147Updated 7 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 6 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 7 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated last year
- Experiments for Jeremy Howard's deep learning courses☆39Updated 7 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆276Updated last year
- Save keras weight matrices as short animated videos during training☆105Updated 7 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- ☆99Updated 6 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆268Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆333Updated 3 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- ☆160Updated 6 years ago