prompt-tuning
Original Implementation of Prompt Tuning from Lester, et al, 2021 (by google-research)
EasyDeL
EasyDeL is an OpenSource Library to make your training faster and more Optimized With cool Options for training and serving Both in Python And Mojo🔥 (by erfanzar)
| prompt-tuning | EasyDeL | |
|---|---|---|
| 1 | 2 | |
| 623 | 149 | |
| 1.1% | - | |
| 5.7 | 9.9 | |
| 5 months ago | 8 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
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.
prompt-tuning
Posts with mentions or reviews of prompt-tuning.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Need advice on learning to apply techniques from research papers.
For instance, right now I want to try applying the prompt-tuning technique on simple classification tasks. The github page looks as follows: https://github.com/google-research/prompt-tuning.
EasyDeL
Posts with mentions or reviews of EasyDeL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-26.
- FLaNK Stack 26 February 2024
-
Gemma.cpp: lightweight, standalone C++ inference engine for Gemma models
This is not a production backend, as it says in the readme.
There are some very interesting efforts in JAX/TPU land like https://github.com/erfanzar/EasyDeL
What are some alternatives?
When comparing prompt-tuning and EasyDeL you can also consider the following projects:
flaxmodels - Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
gemma.cpp - lightweight, standalone C++ inference engine for Google's Gemma models.