bagua
Distributed-Systems-Guide
| bagua | Distributed-Systems-Guide | |
|---|---|---|
| 6 | 1 | |
| 865 | 22 | |
| 0.2% | - | |
| 4.8 | 4.2 | |
| 9 months ago | over 2 years ago | |
| Python | ||
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bagua
Distributed-Systems-Guide
-
Useful Tools and Resources for Distributing Computing
A useful list of Tools, Programs, and Resources for Distributing Computing.
What are some alternatives?
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Awesome-Microservices-DotNet - 💎 A collection of awesome training series, articles, videos, books, courses, sample projects, and tools for Microservices in .NET
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
storj - Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.
optuna - A hyperparameter optimization framework
awesome-tensor-compilers - A list of awesome compiler projects and papers for tensor computation and deep learning.
PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.
tune - An abstraction layer for parameter tuning
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
modin - Modin: Scale your Pandas workflows by changing a single line of code
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.