Alternatives and similar repositories for nx-cugraph:

Users that are interested in nx-cugraph are comparing it to the libraries listed below

• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆94Updated this week
• scikit-learn-contrib / skdag
  A more flexible alternative to scikit-learn Pipelines
  ☆33Updated 10 months ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 9 months ago
• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated 10 months ago
• pchlenski / manify
  Generate graph/data embeddings multiple ways
  ☆50Updated last week
• MengLiuPurdue / Graph-Topological-Data-Analysis
  ☆43Updated last year
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 5 months ago
• aplbrain / grand
  Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.
  ☆108Updated 4 months ago
• TutteInstitute / fast_hdbscan
  A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces
  ☆109Updated 3 weeks ago
• pyt-team / tdlbook
  ☆32Updated 8 months ago
• python-graphblas / graphblas-algorithms
  Graph algorithms written in GraphBLAS
  ☆80Updated last week
• networkx / nx-parallel
  A networkx backend that uses joblib to run graph algorithms in parallel.
  ☆52Updated 3 weeks ago
• BBVA / mercury-graph
  mercury-graph is a Python library that offers graph analytics capabilities with a technology-agnostic API.
  ☆28Updated 3 weeks ago
• python-graphblas / python-graphblas
  Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
  ☆132Updated last week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆171Updated this week
• geometric-intelligence / TopoBench
  TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
  ☆116Updated this week
• rapidsai / miniforge-cuda
  ☆13Updated 7 months ago
• robert-haas / gravis
  Interactive graph visualizations with Python and HTML/CSS/JS.
  ☆115Updated 2 years ago
• probabl-ai / sklearn-ragger-duck
  A proof-of-concept for a RAG to query the scikit-learn documentation
  ☆26Updated this week
• talboger / fastdist
  Faster distance calculations in python using numba
  ☆59Updated last year
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆120Updated this week
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆101Updated 2 months ago
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆42Updated last month
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆79Updated last week
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆188Updated last week
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆99Updated 2 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆22Updated 4 months ago
• interpretml / slicer
  Unified slicing for all Python data structures.
  ☆35Updated 2 months ago