GradCache VS flaxmodels

Compare GradCache vs flaxmodels and see what are their differences.

GradCache

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint (by luyug)

flaxmodels

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc. (by matthias-wright)
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GradCache flaxmodels
1 1
310 223
- -
4.5 3.1
about 2 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.

GradCache

Posts with mentions or reviews of GradCache. 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 GradCache and flaxmodels you can also consider the following projects:

h-former - H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.

jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

jax-models - Unofficial JAX implementations of deep learning research papers

stylegan2-pytorch - Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

long-range-arena - Long Range Arena for Benchmarking Efficient Transformers

EasyLM - Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

ffhq-dataset - Flickr-Faces-HQ Dataset (FFHQ)