PAWS-TF
TFLiteClassification
PAWS-TF | TFLiteClassification | |
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1 | 1 | |
43 | 1 | |
- | - | |
1.8 | 0.0 | |
almost 3 years ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | - |
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PAWS-TF
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Semi-Supervised Learning with Paws in TensorFlow
PAWS introduces a way to combine a small fraction of labeled samples with unlabeled ones during the pre-training of vision models. With its simple and unique approach, it sets SOTA in semi-supervised learning that too with far less compute and parameters.
Here's my implementation of PAWS in TensorFlow: https://github.com/sayakpaul/PAWS-TF/
TFLiteClassification
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TensorFlow Lite Python Interpreter Implementation!
TFLiteClassification
What are some alternatives?
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
automl - Google Brain AutoML
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.
node-efficientnet - tensorflowJS implementation of EfficientNet 🚀