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:
- 2019 talk at GECCO☆68Updated 6 years ago
- ☆32Updated 7 years ago
- The Building Blocks of Interpretability☆91Updated 2 years ago
- Synthetic book pages created with a PGGAN☆73Updated 6 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆78Updated 5 years ago
- PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.☆89Updated 5 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of Spectral Inference Networks, ICLR 2019☆172Updated 6 years ago
- Implementation of "GANs for Biological Image Synthesis"☆95Updated 7 years ago
- Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying…☆35Updated 5 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Generative Latent Attentive Sampler☆26Updated 8 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
- Easing non-convex optimization with neural networks.☆23Updated 7 years ago
- Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591☆35Updated 7 years ago
- torch code to decode (and almost encode) latents from art-DCGAN's Portrait GAN☆39Updated 6 years ago
- ☆26Updated 6 years ago
- Code for the COG dataset and network☆43Updated 6 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- 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
- Code for replication of the paper "GANs beyond divergence minimization"☆21Updated 6 years ago
- Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine lear…☆72Updated 6 years ago
- 3D Roto-translation equivariant convolutions☆54Updated 6 years ago
- A powerful, under-explored tool for neural network visualizations and art.☆27Updated 3 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- presentations☆44Updated 6 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- ☆45Updated 5 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago