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1. Variational-Approaches-for-Auto-Encoding-Generative-Adversarial-Networks Variational-Approaches-for-Auto-Encoding-Generative-Adversarial-Networks Public

   An implementation to reproduce the results presented in Alpha GAN paper.

   Python 6 3

2. TorchAL TorchAL Public

   Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

   Jupyter Notebook 69 7

3. Wasserstein-Autoencoders Wasserstein-Autoencoders Public

   An implementation of Wasserstein Autoencoder paper.

   Python 1

4. SWA_example SWA_example Public

   Python 1

5. smol-course smol-course Public

   Forked from huggingface/smol-course

   A course on aligning smol models.

   Jupyter Notebook

6. m42-health/CXformer m42-health/CXformer Public

   CXFormer is a self-supervised foundation model family tailored for Chest X-ray (CXR) analysis. Built on top of DINOv2 and adapted with domain-specific optimizations, CXFormer delivers SOTA performa…

   Python 2