distillpub / post--activation-atlasLinks
Using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned which can reveal how the network typically represents some concepts.
☆45Updated 5 years ago
Alternatives and similar repositories for post--activation-atlas
Users that are interested in post--activation-atlas are comparing it to the libraries listed below
Sorting:
- Here I will share the code from the lectures of the course: Generative Image Modelling with Deep Neural Networks taught in the Summer Ter…☆27Updated 8 years ago
- Synthetic book pages created with a PGGAN☆73Updated 7 years ago
- presentations☆44Updated 7 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- The Building Blocks of Interpretability☆93Updated 3 years ago
- Distill submission☆33Updated last month
- ☆25Updated 6 years ago
- TensorFlow implementation of CipherGAN☆122Updated 2 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Equi-normalization of Neural Networks☆116Updated 6 years ago
- ☆45Updated 6 years ago
- ☆31Updated 3 years ago
- 2019 talk at GECCO☆68Updated 6 years ago
- torch code to decode (and almost encode) latents from art-DCGAN's Portrait GAN☆39Updated 7 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 6 years ago
- Implementation of "GANs for Biological Image Synthesis"☆95Updated 8 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆79Updated 6 years ago
- This repo shows a vanilla hopfield net that will denoise a given pattern☆41Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆57Updated 7 years ago
- Feature Visualization☆135Updated 2 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.☆88Updated 5 years ago
- Research code need not be ugly.☆77Updated 2 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- ☆32Updated 7 years ago
- Implementation of Spectral Inference Networks, ICLR 2019☆172Updated 6 years ago
- Notes from ICLR 2019☆25Updated 6 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago