prompt-tuning VS flaxmodels

Compare prompt-tuning vs flaxmodels and see what are their differences.

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)
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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.
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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.

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)
    2 projects | /r/MachineLearning | 12 Sep 2021
    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