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156

935

mit

26

"Deep Generative Modeling": Introductory Examples

pytorch deep-learning generative-ai energy-based-model neural-compression flow-based-modeling autoregressive-modeling variational-autoencoder deep-generative-modelling generative-adversarial-network score-based-generative-modeling

Created 2021-01-23

64 commits to main branch, last one 2 months ago

42

482

mit

22

A collection of tools for neural compression enthusiasts.

jax python pytorch compression deep-learning machine-learning neural-compression

Created 2021-07-09

140 commits to main branch, last one 3 months ago

6

51

mit

3

Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the recent years.

data-compression neural-compression

Created 2022-05-04

82 commits to main branch, last one about a month ago

6

45

mit

5

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc

minified flow-matching diffusion-models generative-models normalizing-flows consistency-models neural-compression variational-autoencoder

Created 2023-03-05

43 commits to main branch, last one 6 months ago