FunMatch-Distillation
PAWS-TF
| FunMatch-Distillation | PAWS-TF | |
|---|---|---|
| 1 | 1 | |
| 79 | 43 | |
| - | - | |
| 1.8 | 1.8 | |
| over 2 years ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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FunMatch-Distillation
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Knowledge distillation with "Function Matching"
There's a notebook on distributed hyperparameter tuning and it's often not included in the public release of an implementation.
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/
What are some alternatives?
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
Practical_RL - A course in reinforcement learning in the wild
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation
adanet - Fast and flexible AutoML with learning guarantees.
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.