timsainb / tensorflow-2-feature-visualization-notebooksLinks
Feature and class visualization with deep neural networks in tensorflow. Contains deepdream, style transfer, receptive field visualization, convolutional filter visualization, etc.
☆29Updated 5 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:
- Shared Nearest Neighbor Clustering Algorithm: Implementation and Evaluation☆30Updated 5 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago
- A toy example of VAE-regression network☆73Updated 5 years ago
- ☆11Updated last month
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- Project to visualize the kernels and the outputs of the individual layers of a CNN built in pytorch.☆18Updated 5 years ago
- Explorative multivariate statistics in Python☆81Updated 3 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- Dense Steerable Filter CNN☆75Updated 2 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆23Updated 4 years ago
- Dynamical Components Analysis☆32Updated 2 years ago
- Python Library for Signal/Image Data Analysis with Transport Methods☆48Updated last month
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆158Updated 5 months ago
- Variational Autoencoder and Classifier hybrid☆27Updated 5 years ago
- Library for diffusion maps☆46Updated 3 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood s…☆14Updated 3 years ago
- ☆26Updated 2 years ago
- ☆19Updated 5 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- ☆29Updated 3 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆26Updated 4 years ago
- Python code to directly compute persistence images (PIs) from data (time-series or images) using deep learning.☆26Updated 10 months ago
- Implementation of Low Distortion Local Eigenmaps and several variations of it☆18Updated 7 months ago
- Analysis of results of the Data Science Bowl 2018☆21Updated 5 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Contrastive Variational Autoencoders☆68Updated 6 years ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 6 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆42Updated 2 years ago