COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20220709121950/https://github.com/topics/sparse-tensors

#

sparse-tensors

Here are 7 public repositories matching this topic...

NVIDIA / MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

computer-vision deep-learning neural-network cuda high-dimensional-data pytorch convolutional-neural-networks auto-differentiation semantic-segmentation space-time spatio-temporal-analysis 3d-vision 3d-convolutional-network sparse-tensors sparse-convolution high-dimensional-inference trilateral-filter 4d-convolutional-neural-network minkowski-engine sparse-tensor-network

Updated Jun 30, 2022
Python

BGT-M / spartan2

A collection of data mining algorithms on big graphs and time series

data-mining time-series anomaly-detection sparse-tensors big-graphs

Updated May 1, 2022
Python

ITensor / NDTensors.jl

A Julia package for n-dimensional sparse tensors.

julia sparse tensor sparse-tensors block-sparsity

Updated Dec 6, 2021
Julia

zamorarr / tensorr

Sparse Tensors in R

r sparse rstats tensors sparse-tensors

Updated Mar 9, 2019
R

IntelLabs / ALTO

A template-based implementation of the Adaptive Linearized Tensor Order (ALTO) format for storing and processing sparse tensors.

multicore tensor-decomposition sparse-tensors

Updated Feb 7, 2022
C++

lanl / pyCP_APR

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

gpu numpy pytorch cybersecurity sparse tensor-factorization cpd tensors tensor-decomposition poisson-distribution latent-features anomaly-detection dense sparse-tensors non-negative-tensor-factorization candecomp-parafac canonical-polyadic dense-tensors

Updated May 15, 2022
Python

dqj5182 / Sparse_COO_Tensor_Multiplication_Pytorch

Pytorch Sparse COO Tensor Multiplication

graph matrix-multiplication sparse-matrix sparse-tensors gnn

Updated Feb 19, 2022
Jupyter Notebook

Improve this page

Add a description, image, and links to the sparse-tensors topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the sparse-tensors topic, visit your repo's landing page and select "manage topics."