Top 11 Python generative-model Projects
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.
[CVPR2020] Adversarial Latent AutoencodersProject 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
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.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglementProject mention: WSJ: Get rid of your IT Department | reddit.com/r/sysadmin | 2022-01-24
or just deepfake using a https://thispersondoesnotexist.com/ persona
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer) (by kakaobrain)Project mention: KakaoBrain KoGPT 6B for Korean | reddit.com/r/mlscaling | 2021-11-17
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
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited DataProject mention: [R] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data | reddit.com/r/MachineLearning | 2021-12-03
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoderProject 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 - 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 model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input promptProject 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.
Hierarchical fast and high-fidelity audio generationProject 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.
:kiwi_fruit: Autoregressive Models in PyTorch.Project mention: [P] WaveNets - a comprehensive presentation with code | reddit.com/r/MachineLearning | 2021-12-09
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
Python generative-model related posts
WSJ: Get rid of your IT Department
1 project | reddit.com/r/sysadmin | 24 Jan 2022
1 project | reddit.com/r/distressingmemes | 24 Jan 2022
"We Require An Accurate Photograph"
1 project | reddit.com/r/CPTSD | 24 Jan 2022
What else is needed for true to life visuals?
2 projects | reddit.com/r/virtualreality | 24 Jan 2022
Caffè Italia * 23/01/22
1 project | reddit.com/r/italy | 23 Jan 2022
Deux poids deux mesures pour les exactions envers les musulmans
1 project | reddit.com/r/france | 23 Jan 2022
AI generates the rest of Rockstar Made.
1 project | reddit.com/r/playboicarti | 23 Jan 2022
What are some of the best open-source generative-model projects in Python? This list will help you:
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