What are sota hyperparameter optimization methods?

• cleanrl

  41 4,459 6.3 Python

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

As far as I know CleanRL implements TPE. Also, I'm wondering if F-Race is considerable.

• Auto-PyTorch

  4 2,281 0.0 Python

  Automatic architecture search and hyperparameter optimization for PyTorch

  

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• StoRM

  4 26 3.5 Python

  A neural network hyper parameter tuner (by ben-arnao)

You can try out Storm tuner- https://github.com/ben-arnao/StoRM. It is a simple tuner I've created to overcome what I felt like were a lot of the short comings I've encountered with other tuners (too many hyper parameters of the tuner itself/not very easy to use, not good for all use cases, poor performance in general, etc.)

Suggest a related project