yulongwang12 / visual-attributionLinks
Pytorch Implementation of recent visual attribution methods for model interpretability
☆146Updated 5 years ago
Alternatives and similar repositories for visual-attribution
Users that are interested in visual-attribution are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Pretrained bag-of-local-features neural networks☆313Updated 6 years ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- ☆351Updated 5 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Updated 2 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆131Updated 7 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 7 years ago
- visualization of CNN in PyTorch☆155Updated last year
- Real-time image saliency 🌠 (NIPS 2017)☆126Updated 7 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 5 years ago
- Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)☆196Updated 3 years ago
- A drop-in replacement for CIFAR-10.☆243Updated 4 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Updated 5 years ago
- Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)☆124Updated 6 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated 2 years ago
- Recent few-shot meta-learning papers☆86Updated 7 years ago