HJxB VS flaxmodels

Compare HJxB vs flaxmodels and see what are their differences.

flaxmodels

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc. (by matthias-wright)
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HJxB flaxmodels
3 1
11 222
- -
0.0 3.1
about 2 years ago 9 months ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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HJxB

Posts with mentions or reviews of HJxB. 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 HJxB 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).

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

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

adaptive-policy-iteration - JAX implementation of Adaptive Approximate Policy Iteration (Hao et al., 2021)

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

dymos - Open Source Optimization of Dynamic Multidisciplinary Systems

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

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

prompt-tuning - Original Implementation of Prompt Tuning from Lester, et al, 2021

GradCache - Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint