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allennlp_tutorial_japanese

anomaly-detectionr

deeplearning-models

A collection of various deep learning architectures, models, and tips

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dotfiles

graphtsne

PyTorch Implementation of GraphTSNE, ICLR’19

hub-toolbox-python3

Hubness analysis and removal functions

ivis

Dimensionality reduction in very large datasets using Siamese Networks

liboptpy

Implementation of various optimization methods

models

Models and examples built with TensorFlow

opentsne

Extensible, parallel implementations of t-SNE

pynndescent

A Python nearest neighbor descent for approximate nearest neighbors

r4ds

rwr-gae

Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"

scikit-hubness

A Python package for hubness analysis and high-dimensional data mining

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

trimap

TriMap: Dimensionality Reduction Using Triplet Constraints

umap

Uniform Manifold Approximation and Projection

umap_paper_notebooks

Notebooks in support of the UMAP paper