pydatalog VS DOKSparse

Compare pydatalog vs DOKSparse and see what are their differences.

pydatalog

Fork of pyDatalog https://sites.google.com/site/pydatalog/ (by baojie)
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DOKSparse

sparse DOK tensors on GPU, pytorch (by DeMoriarty)
Cuda Pytorch Sparse
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pydatalog DOKSparse
1 2
14 2
- -
10.0 4.2
over 11 years ago 11 months ago
Python Cuda
GNU Lesser General Public License v3.0 only MIT License
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pydatalog

Posts with mentions or reviews of pydatalog. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.

DOKSparse

Posts with mentions or reviews of DOKSparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.
  • GDlog: A GPU-Accelerated Deductive Engine
    16 projects | news.ycombinator.com | 3 Dec 2023
  • tensor.to_sparse() Memory Allocation
    1 project | /r/pytorch | 22 Apr 2023
    If using sparse tensors is a must, you can look into DOK sparse format, which is supported for 2d matrices in scipy. it kinda allows you to access any element of the sparse tensor in constant time, which makes it possible to create your tensor directly in sparse format, skipping the need to create a dense numpy array first. In case you need a GPU version of this, I have a library that implements sparse dok tensor in pytorch and cuda. currently it's GPU only.

What are some alternatives?

When comparing pydatalog and DOKSparse you can also consider the following projects:

treeedb - Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.

cub - [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

virtuoso-opensource - Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform

MegBA - MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

CUDA-Guide - CUDA Guide

cuhnsw - CUDA implementation of Hierarchical Navigable Small World Graph algorithm

TorchPQ - Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

cccl - CUDA C++ Core Libraries

warpcore - A Library for fast Hash Tables on GPUs

gdlog

FuXi - Chimezie Ogbuji's FuXi reasoner. NON-FUNCTIONING, RETAINED FOR ARCHIVAL PURPOSES. For working code plus version and associated support requirements see:

pydatalog vs treeedb DOKSparse vs cub pydatalog vs virtuoso-opensource DOKSparse vs MegBA DOKSparse vs CUDA-Guide DOKSparse vs cuhnsw DOKSparse vs TorchPQ DOKSparse vs instant-ngp DOKSparse vs cccl DOKSparse vs warpcore DOKSparse vs gdlog DOKSparse vs FuXi
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