PERSIA
bagua
| PERSIA | bagua | |
|---|---|---|
| 3 | 6 | |
| 383 | 865 | |
| 2.6% | 0.0% | |
| 0.0 | 4.8 | |
| 3 months ago | 9 months ago | |
| Rust | Python | |
| MIT License | 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.
PERSIA
-
Researchers Introduce ‘PERSIA’: A PyTorch-Based System for Training Large Scale Deep Learning Recommendation Models up to 100 Trillion Parameters
Github: https://github.com/persiaml/persia
-
[R] Kwai, Kuaishou & ETH Zürich Propose PERSIA, a Distributed Training System That Supports Deep Learning-Based Recommenders of up to 100 Trillion Parameters
Code for https://arxiv.org/abs/2111.05897 found: https://github.com/PersiaML/Persia
The code is available on the project’s GitHub. The paper PERSIA: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters is on arXiv.
bagua
What are some alternatives?
tangram - Tangram is an all-in-one automated machine learning framework. [Moved to: https://github.com/tangramdotdev/tangram]
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
spotlight - Deep recommender models using PyTorch.
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]
tch-rs - Rust bindings for the C++ api of PyTorch.
optuna - A hyperparameter optimization framework
bastionlab - A simple framework for privacy-friendly data science collaboration
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
modin - Modin: Scale your Pandas workflows by changing a single line of code
batched-fn - 🦀 Rust server plugin for deploying deep learning models with batched prediction
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.