FunMatch-Distillation VS TFLiteClassification

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

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FunMatch-Distillation TFLiteClassification
1 1
79 1
- -
1.8 0.0
over 2 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
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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.
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.

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.

TFLiteClassification

Posts with mentions or reviews of TFLiteClassification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-08.

What are some alternatives?

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

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

Practical_RL - A course in reinforcement learning in the wild

rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

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

automl - Google Brain AutoML

adanet - Fast and flexible AutoML with learning guarantees.

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

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.

node-efficientnet - tensorflowJS implementation of EfficientNet 🚀