Pseudo-Labelling
PAWS-TF
| Pseudo-Labelling | PAWS-TF | |
|---|---|---|
| 1 | 1 | |
| 9 | 43 | |
| - | - | |
| 0.0 | 1.8 | |
| almost 2 years ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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.
Pseudo-Labelling
PAWS-TF
-
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?
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation
semi-supervised-segmentation-on-graphs - Semi supervised segmentation on graphs (images and pointclouds). Using Eikonal equation.
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python