Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Backend.ai | 449 | 12 | 2 months ago | 209 | November 08, 2023 | 311 | lgpl-3.0 | Python | ||
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. | ||||||||||
Good Karma Kit | 264 | 10 months ago | mit | |||||||
😇 A Docker Compose bundle to run on servers with spare CPU, RAM, disk, and bandwidth to help the world. Includes Tor, ArchiveWarrior, BOINC, and more... | ||||||||||
Mltoolkits | 65 | 2 years ago | 10 | gpl-3.0 | Python | |||||
learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project. | ||||||||||
Jppf | 49 | 11 | 6 | 2 years ago | 71 | May 31, 2020 | 8 | apache-2.0 | Java | |
The open source grid computing solution | ||||||||||
Compss | 39 | 3 months ago | 7 | apache-2.0 | Java | |||||
COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds. | ||||||||||
Fahclient | 36 | 4 years ago | gpl-3.0 | Dockerfile | ||||||
Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19 | ||||||||||
Lipizzaner Gan | 30 | a year ago | 11 | mit | Python | |||||
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly | ||||||||||
Microcore | 24 | 1 | 7 | 2 years ago | 7 | March 13, 2020 | 16 | bsd-2-clause | C# | |
.NET Core framework for inter-service communication | ||||||||||
Bigdata | 12 | 5 months ago | 1 | HTML | ||||||
Lecture: Big Data | ||||||||||
Pandas Farm | 11 | 7 years ago | mit | Python | ||||||
Parallelize pandas operations easily on your personal small cluster |