rapidsai / nx-cugraph
GPU Accelerated Backend for NetworkX
☆34Updated last week
Alternatives and similar repositories for nx-cugraph:
Users that are interested in nx-cugraph are comparing it to the libraries listed below
- ☆19Updated this week
- Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.☆103Updated 2 months ago
- TopoBenchmark is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆104Updated this week
- ☆30Updated 6 months ago
- Common Python utilities and GitHub Actions in Lightning Ecosystem☆52Updated this week
- A more flexible alternative to scikit-learn Pipelines☆33Updated 8 months ago
- Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics☆129Updated this week
- Competing Risks and Survival Analysis☆68Updated this week
- Vectorizers for a range of different data types☆100Updated last week
- GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU☆22Updated last week
- Graph algorithms written in GraphBLAS☆79Updated last month
- Modular, scalable library to train ML models☆60Updated this week
- Advanced random forest methods in Python☆58Updated last year
- DeepGNN is a framework for training machine learning models on large scale graph data.☆127Updated last week
- TigerLily: Finding drug interactions in silico with the Graph.☆99Updated 2 years ago
- Efficient matrix representations for working with tabular data☆119Updated this week
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆66Updated this week
- Representation Learning on Topological Domains☆79Updated this week
- ☆23Updated 3 years ago
- LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.☆176Updated last month
- ☆44Updated 3 months ago
- Fast and modular sklearn replacement for generalized linear models☆165Updated 3 months ago
- A visual labeling system implemented in Jupyter widgets.☆148Updated 3 months ago
- Interactive graph visualizations with Python and HTML/CSS/JS.☆109Updated 2 years ago
- Graph neural networks in JAX.☆67Updated 8 months ago
- A build-it-yourself AutoML Framework☆69Updated 3 months ago
- ☆46Updated last month
- Dockerfile templates for creating RAPIDS Docker Images☆74Updated this week
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆51Updated this week
- Dias: Dynamic Rewriting of Pandas Code☆65Updated 2 months ago