Python generative-model

Open-source Python projects categorized as generative-model | Edit details

Top 11 Python generative-model Projects

  • jukebox

    Code for the paper "Jukebox: A Generative Model for Music"

    Project mention: I used AI to generate a new Beatles track from scratch. Behold, "Magic Tree". | reddit.com/r/beatles | 2022-01-01

    So, I’ve been learning how to optimize Jukebox by Open.ai over the break, and this was my very first full generation (after about 7 hours). I trained almost exclusively off of Abbey Road, and the prompt lyrics were the “magic tree” chorus section — that was pretty much it, aside from some minor cleanup because I didn’t upsample. Also utilized (r)DALL-E for the beautiful cover art. I’m guessing George is that blob in the middle? I’m posting more exploits on my Tok.

  • ALAE

    [CVPR2020] Adversarial Latent Autoencoders

    Project mention: [D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image? | reddit.com/r/MachineLearning | 2021-03-27

    source link: https://github.com/podgorskiy/ALAE

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • stylegan2-pytorch

    Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

    Project mention: WSJ: Get rid of your IT Department | reddit.com/r/sysadmin | 2022-01-24

    or just deepfake using a https://thispersondoesnotexist.com/ persona

  • kogpt

    KakaoBrain KoGPT (Korean Generative Pre-trained Transformer) (by kakaobrain)

    Project mention: KakaoBrain KoGPT 6B for Korean | reddit.com/r/mlscaling | 2021-11-17
  • gretel-synthetics

    Synthetic data generators for structured and unstructured text, featuring differentially private learning.

    Project mention: Gretel-synthetics: open-source library to create synthetic datasets | news.ycombinator.com | 2021-02-22
  • DeceiveD

    [NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

    Project mention: [R] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data | reddit.com/r/MachineLearning | 2021-12-03

    github: https://github.com/endlesssora/deceived

  • RAVE

    Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

    Project mention: [D] What is state of the art for audio generation? | reddit.com/r/MachineLearning | 2022-01-13

    Source code is here: https://github.com/caillonantoine/RAVE

  • OPS

    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • feed_forward_vqgan_clip

    Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

    Project mention: A small experiment on how changes in a text prompt may affect output image in a CLIP-based system | reddit.com/r/MediaSynthesis | 2021-09-24

    The system used to produce these images is unlike most other VQGAN+CLIP systems because it uses a neural network trained by the developer(s) instead of an iterative process. This system is known to have a "formula" for image layout.

  • timbre_painting

    Hierarchical fast and high-fidelity audio generation

    Project mention: [D] Is it possible to create an AI that learns to make mashups of songs? | reddit.com/r/MachineLearning | 2021-02-14

    Another interesting technology that came up last year is Differential Digital Signal Processing and the things you can do with it. Basically, the authors implemented a library of synthesizers in tensorflow and used those to train an autoencoder on monophonic audio, such that the waveform gets encoded into timbre, melody and loudness, which can be decoded to synthesizer control sequences, which then again sound like the original waveform. This (timbre, melody, loudness) is a pretty useful abstraction that has also been used by other work, but so far it only works for monophonic audio.

  • autoregressive

    :kiwi_fruit: Autoregressive Models in PyTorch.

    Project mention: [P] WaveNets - a comprehensive presentation with code | reddit.com/r/MachineLearning | 2021-12-09
  • aitg

    plug and play gpt-2/3 (and more) for http api or command line!

    Project mention: Show HN: Plug-and-play GPT2/3 CLI and HTTP, made for local hacking | news.ycombinator.com | 2021-08-27
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-01-24.

Python generative-model related posts

Index

What are some of the best open-source generative-model projects in Python? This list will help you:

Project Stars
1 jukebox 4,919
2 ALAE 3,201
3 stylegan2-pytorch 2,732
4 kogpt 580
5 gretel-synthetics 233
6 DeceiveD 201
7 RAVE 196
8 feed_forward_vqgan_clip 94
9 timbre_painting 64
10 autoregressive 27
11 aitg 3
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