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104 public repositories
matching this topic...
Statistical Machine Intelligence & Learning Engine
Updated
May 16, 2022
Java
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Updated
May 12, 2022
Python
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Updated
Apr 30, 2021
Python
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Updated
Mar 21, 2020
Python
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Updated
Dec 1, 2018
Python
Manifold-learning flows (ℳ-flows)
Updated
Nov 13, 2020
Jupyter Notebook
CellRank for directed single-cell fate mapping
Updated
Apr 28, 2022
Python
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Updated
Mar 5, 2020
Jupyter Notebook
Updated
Dec 13, 2021
Python
Single cell trajectory detection
Updated
Dec 15, 2021
Jupyter Notebook
Tensorflow implementation of adversarial auto-encoder for MNIST
Updated
Nov 7, 2017
Python
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
Updated
Jan 10, 2022
Python
A Framework for Dimensionality Reduction in R
A Julia package for manifold learning and nonlinear dimensionality reduction
Updated
Mar 6, 2022
Julia
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Updated
Aug 15, 2020
Python
Data Science and Matrix Optimization course
Dimension Reduction and Estimation Methods
An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit
https://github.com/sonjageorgievska/Embed-Dive .
Updated
Mar 12, 2018
HTML
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
Updated
Aug 14, 2020
Python
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
Updated
May 14, 2017
Python
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
Updated
Apr 18, 2020
Jupyter Notebook
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models" arXiv:2107.09814v1.
Updated
Dec 17, 2021
Jupyter Notebook
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
Updated
Oct 6, 2021
Jupyter Notebook
Implemented Laplacian Eigenmaps
Updated
Oct 7, 2021
Jupyter Notebook
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
Updated
Jul 10, 2020
Jupyter Notebook
The software of Pamona, a partial manifold alignment algorithm.
Updated
Mar 21, 2021
Jupyter Notebook
Diffusion Net TensorFlow implementation
Updated
Nov 10, 2017
Jupyter Notebook
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
Updated
Jun 4, 2018
Python
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When I run 'script/train_pytorchcv_InceptionV4_caltech_birds.py', I get an error of 'ModuleNotFoundError: No module named 'pytorchcv.utils''.
My pytorchcv version is 0.058, and I install through pip.
Thanks.