poolformer VS FunMatch-Distillation

Compare poolformer vs FunMatch-Distillation and see what are their differences.

poolformer

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral) (by sail-sg)

FunMatch-Distillation

TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237. (by sayakpaul)
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poolformer FunMatch-Distillation
3 1
1,226 79
0.0% -
0.0 1.8
over 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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.

poolformer

Posts with mentions or reviews of poolformer. We have used some of these posts to build our list of alternatives and similar projects.

FunMatch-Distillation

Posts with mentions or reviews of FunMatch-Distillation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing poolformer and FunMatch-Distillation you can also consider the following projects:

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Practical_RL - A course in reinforcement learning in the wild

SpecVQGAN - Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

PAWS-TF - Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

adanet - Fast and flexible AutoML with learning guarantees.

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

ru-dalle - Generate images from texts. In Russian

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"