dmarx/dmarx-github-stars huggingface dataset:
Repository: clementchadebec/benchmark_VAE
Description: Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Language: Python
Topics: benchmarking, beta-vae, comparison, normalizing-flows, pixel-cnn, pytorch, reproducibility, reproducible-research, vae, vae-gan, vae-implementation, vae-pytorch, variational-autoencoder, vq-vae, wasserstein-autoencoder
Repository: yang-song/score_sde_pytorch
Description: PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Language: Jupyter Notebook
Topics: controllable-generation, diffusion-models, generative-models, iclr-2021, inverse-problems, pytorch, score-based-generative-modeling, score-matching, stochastic-differential-equations
Homepage: https://arxiv.org/abs/2011.13456