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.
☆29Updated 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
Sorting:
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated 10 months ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆150Updated 4 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Dynamical Components Analysis☆32Updated last year
- Fast and accurate cross-correlation over arbitrary time lags. Moved to:☆23Updated 6 years ago
- Some ideas on methods for comparing classification models☆10Updated 4 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆158Updated 4 months ago
- Project to visualize the kernels and the outputs of the individual layers of a CNN built in pytorch.☆18Updated 5 years ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 6 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆24Updated 4 years ago
- missing data handing: visualize and impute☆18Updated 5 years ago
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆21Updated 3 years ago
- ☆15Updated 4 years ago
- Explorative multivariate statistics in Python☆81Updated 3 years ago
- NeuroData's package for exploring and using progressive learning algorithms☆36Updated last month
- article feature extraction time series☆42Updated 5 years ago
- A Python toolbox for Fast Image Signal Separation Analysis, designed for Calcium Imaging data.☆32Updated last month
- Self-supervised method for disentanglement, clustering and classification of objects in multidimensional image data☆16Updated 9 months ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated last month
- Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks (https://arxiv.org/abs/1707.06314)☆28Updated 2 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆41Updated 2 years ago
- ☆48Updated 3 years ago
- Tutorial and framework code for deep learning in biomedical applications with PyTorch and (if necessary) Google Cloud Platform.☆31Updated 4 years ago
- ☆26Updated 2 years ago
- WICA: nonlinear weighted ICA☆12Updated last year
- Python code to directly compute persistence images (PIs) from data (time-series or images) using deep learning.☆26Updated 9 months ago
- ☆20Updated 6 years ago
- Reconstructing cropped data in 3D diffusion MRI images using variational autoencoders☆11Updated 4 years ago
- Supervised Vector-Quantized Autoencoder☆18Updated 3 years ago