jegonzal / PowerGraphLinks
PowerGraph: A framework for large-scale machine learning and graph computation.
☆359Updated 3 years ago
Alternatives and similar repositories for PowerGraph
Users that are interested in PowerGraph are comparing it to the libraries listed below
Sorting:
- GraphChi's C++ version. Big Data - small machine.☆808Updated 6 years ago
- GraphChi's Java version☆238Updated last year
- Scalable Graph Mining☆62Updated 2 years ago
- moved to https://github.com/dmlc/ps-lite☆647Updated 9 years ago
- Reliable Allreduce and Broadcast Interface for distributed machine learning☆514Updated 4 years ago
- Differentiated Computation and Partitioning on Skewed (Natural or Bipartite) Graphs☆66Updated 3 years ago
- Former GraphX development repository. GraphX has been merged into Apache Spark; please submit pull requests there.☆359Updated 2 years ago
- SDK for Turi's GraphLab Create.☆149Updated 7 years ago
- Ligra: A Lightweight Graph Processing Framework for Shared Memory☆474Updated last year
- A computation-centric distributed graph processing system.☆325Updated 3 years ago
- Mirror of Apache Giraph☆618Updated 2 years ago
- Parallel ML System - Bosen project☆960Updated last year
- A common bricks library for building scalable and portable distributed machine learning.☆875Updated this week
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆53Updated 9 years ago
- FlashX is a collection of big data analytics tools that perform data analytics in the form of graphs and matrices.☆233Updated 5 years ago
- Parameter server framework for distributed machine learning☆780Updated 6 years ago
- Graphlab from CMU: A New Parallel Framework for Machine Learning☆32Updated 14 years ago
- Deprecated☆337Updated 8 years ago
- Chaos: Scale-out Graph Processing from Secondary Storage☆50Updated 9 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆194Updated 7 years ago
- A more expressive and most importantly, more efficient system for distributed data analytics.☆99Updated 6 years ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- Out-of-core graph processing on a single machine.☆130Updated 7 years ago
- Distributed training framework with parameter server☆338Updated 8 years ago
- Large-scale ML & graph analytics on Giraph☆78Updated 9 years ago
- Generic driver for LDBC Graphalytics implementation☆83Updated 7 months ago
- A Distributed Matrix Operations Library Built on Top of Spark☆106Updated 8 years ago
- Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks su…☆175Updated 6 years ago
- GraphMat graph analytics framework☆102Updated 2 years ago
- Distributed Neural Networks for Spark☆604Updated 5 years ago