12 Python Neighborhood Libraries

PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)

NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa

73 Jan 3, 2023

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

6 Nov 22, 2022

Neighbourhood - A python-django web app to help the residence of a given neighborhood know their surrounding better

Neighbourhood A python-django web app to help the residence of a given neighborh

4 Aug 25, 2022

Neighborhood Reconstructing Autoencoders

Neighborhood Reconstructing Autoencoders The official repository for Neighborhood Reconstructing Autoencoders (Lee, Kwon, and Park, NeurIPS 2021). T

24 Dec 14, 2022

SPTAG: A library for fast approximate nearest neighbor search

SPTAG: A library for fast approximate nearest neighbor search SPTAG SPTAG (Space Partition Tree And Graph) is a library for large scale vector approxi

4.3k Jan 1, 2023

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa

2.9k Jan 4, 2023

A Django web application that allows you to be in the loop about everything happening in your neighborhood.

A Django web application that allows you to be in the loop about everything happening in your neighborhood. From contact information of different handyman to meeting announcements or even alerts.

3 Dec 11, 2022

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation (NeurIPS 2021) Code for our NeurIPS 2021 paper 'Exploiting the Intri

53 Dec 25, 2022

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

MixHop and N-GCN ⠀ A PyTorch implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019)

393 Dec 13, 2022

Python Neighborhood Resources

Python neighborhood Libraries

PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

Neighbourhood - A python-django web app to help the residence of a given neighborhood know their surrounding better

Neighborhood Reconstructing Autoencoders

SPTAG: A library for fast approximate nearest neighbor search

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

A Django web application that allows you to be in the loop about everything happening in your neighborhood.

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

Neighborhood Contrastive Learning for Novel Class Discovery

TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition.

Python Neighborhood Resources

Related tags

Python neighborhood Libraries

PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

Neighbourhood - A python-django web app to help the residence of a given neighborhood know their surrounding better

Neighborhood Reconstructing Autoencoders

SPTAG: A library for fast approximate nearest neighbor search

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

A Django web application that allows you to be in the loop about everything happening in your neighborhood.

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

Neighborhood Contrastive Learning for Novel Class Discovery

TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition.