bagua VS PERSIA

Compare bagua vs PERSIA and see what are their differences.

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bagua PERSIA
6 3
865 383
0.2% 1.3%
4.8 0.0
9 months ago 3 months ago
Python Rust
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of bagua. We have used some of these posts to build our list of alternatives and similar projects.

PERSIA

Posts with mentions or reviews of PERSIA. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing bagua and PERSIA you can also consider the following projects:

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

tangram - Tangram is an all-in-one automated machine learning framework. [Moved to: https://github.com/tangramdotdev/tangram]

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]

spotlight - Deep recommender models using PyTorch.

optuna - A hyperparameter optimization framework

tch-rs - Rust bindings for the C++ api of PyTorch.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

bastionlab - A simple framework for privacy-friendly data science collaboration

modin - Modin: Scale your Pandas workflows by changing a single line of code

ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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.

batched-fn - 🦀 Rust server plugin for deploying deep learning models with batched prediction