prompt-tuning
Original Implementation of Prompt Tuning from Lester, et al, 2021 (by google-research)
flaxmodels
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc. (by matthias-wright)
prompt-tuning | flaxmodels | |
---|---|---|
1 | 1 | |
623 | 222 | |
1.1% | - | |
5.7 | 3.1 | |
5 months ago | 9 months ago | |
Python | Python | |
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.
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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.
flaxmodels
Posts with mentions or reviews of flaxmodels.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-12.
-
[P] Training StyleGAN2 in Jax (FFHQ and Anime Faces)
a while ago I posted here regarding a repository containing some pretrained models implemented in Jax/Flax. I decided to add training code for these models. Here is the training code for StyleGAN2: https://github.com/matthias-wright/flaxmodels/tree/main/training/stylegan2
What are some alternatives?
When comparing prompt-tuning and flaxmodels you can also consider the following projects:
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
stylegan2-pytorch - Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
jax-models - Unofficial JAX implementations of deep learning research papers
ffhq-dataset - Flickr-Faces-HQ Dataset (FFHQ)
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
GradCache - Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint