Simple implementation of ML papers centered around generative models.
| Paper | Source | Code |
|---|---|---|
| NICE: Non-linear Independent Components Estimation | Arxiv | Code |
| Denoising Diffusion Probabilistic Models | Arxiv | Code |
| Generative Adversarial Networks | Arxiv | Code |
| Auto-Encoding Variational Bayes | Arxiv | Code |
| Adversarial Autoencoders | Arxiv | Code |
| InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Net | Arxiv | Code |
| Wasserstein GAN | Arxiv | Code |
| Score-Based Generative Modeling through Stochastic Differential Equations | Arxiv | Code |
| Flow Matching for Generative Modeling | Arxiv | Code |