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89 public repositories
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Statistical Machine Intelligence & Learning Engine
Updated
Aug 12, 2021
Java
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Updated
Aug 14, 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
Aug 17, 2021
Python
Updated
Mar 28, 2021
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
Single cell trajectory detection
Updated
May 3, 2021
Jupyter Notebook
Tensorflow implementation of adversarial auto-encoder for MNIST
Updated
Nov 7, 2017
Python
A Framework for Dimensionality Reduction in R
A Julia package for manifold learning and nonlinear dimensionality reduction
Updated
May 31, 2021
Julia
Data Science and Matrix Optimization course
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Updated
Aug 15, 2020
Python
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
Dimension Reduction and Estimation Methods
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
Updated
Apr 18, 2020
Jupyter Notebook
Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
Updated
Aug 14, 2020
Python
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
Updated
May 14, 2017
Python
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
Jun 9, 2021
Jupyter Notebook
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
Updated
Jul 22, 2021
Jupyter Notebook
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
Updated
Jul 10, 2020
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
Implemented Laplacian Eigenmaps
Updated
Sep 2, 2020
Jupyter Notebook
A tool that performs 3D embedding of data and provides interactive visualization.
Updated
Feb 3, 2017
JavaScript
Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions
Koopman operator: learning dynamical systems | Diffusion Maps: Describing geometry in point clouds.
Updated
Aug 13, 2021
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.