timsainb / tensorflow-2-feature-visualization-notebooks
Feature and class visualization with deep neural networks in tensorflow. Contains deepdream, style transfer, receptive field visualization, convolutional filter visualization, etc.
☆26Updated 4 years ago
Alternatives and similar repositories for tensorflow-2-feature-visualization-notebooks:
Users that are interested in tensorflow-2-feature-visualization-notebooks are comparing it to the libraries listed below
- Project to visualize the kernels and the outputs of the individual layers of a CNN built in pytorch.☆18Updated 4 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆17Updated 8 months ago
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆31Updated last year
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆150Updated 4 years ago
- ☆16Updated 4 years ago
- Dynamical Components Analysis☆31Updated last year
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆30Updated 3 years ago
- Contrastive Variational Autoencoders☆62Updated 6 years ago
- Accepted in MIDL 2020☆32Updated 3 years ago
- Code for reproducing the experiment from the paper "A biologically plausible neural network for Slow Feature Analysis"☆13Updated 3 years ago
- Python package providing mesoscale connectivity models for mouse.☆38Updated 10 months ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated 2 months ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Updated last year
- CEBRA Demo Notebooks. Please see all of them at the URL below:☆14Updated 6 months ago
- NeuroData's package for exploring and using progressive learning algorithms☆36Updated 3 months ago
- HCAE (HyperConnectome AutoEncoder) for brain state identification.☆16Updated 4 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆24Updated 4 years ago
- ☆28Updated 2 years ago
- ☆19Updated 2 years ago
- A Python toolbox for Fast Image Signal Separation Analysis, designed for Calcium Imaging data.☆30Updated this week
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆20Updated 2 years ago
- A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood s…☆14Updated 3 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Self-supervised method for disentanglement, clustering and classification of objects in multidimensional image data☆14Updated 6 months ago
- Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks (https://arxiv.org/abs/1707.06314)☆28Updated 2 years ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆39Updated 5 months ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 5 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆26Updated 3 years ago
- This repository hosts the code for HDN (associated with the paper https://arxiv.org/pdf/2104.01374.pdf) for pixel and structured noise re…☆35Updated last year