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178

1.1k

mit

28

"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

67 commits to main branch, last one 3 months ago

43

520

mit

21

A collection of tools for neural compression enthusiasts.

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

Created 2021-07-09

142 commits to main branch, last one 3 months ago

8

124

mit

6

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 about a year ago

7

60

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

85 commits to main branch, last one 4 months ago

1

27

other

4

Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023

tensorflow compression image-compression neural-compression

Created 2023-04-12

13 commits to master branch, last one 2 months ago