SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 Python generative-model Projects
Code for the paper "Jukebox: A Generative Model for Music"Project mention: Mongolian Gabba Goat Techno | reddit.com/r/BrandNewSentence | 2023-02-02
That already exists
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglementProject mention: Gdy ktoś cię nazywa mnie ruskim agentem, to zawsze przypominam sobie te obrazki. | reddit.com/r/konfa | 2023-02-05
Jeszcze ta gęba wzięta z thispersondoesnotexist.com to taka wisienka na torcie
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
[CVPR2020] Adversarial Latent Autoencoders
Implementation of Denoising Diffusion Probabilistic Model in PytorchProject mention: Implementation of Google's MusicLM in PyTorch | news.ycombinator.com | 2023-01-30
Generally it's without weights, but MusicLM is also a WIP more mature implementations have descriptions on how to train them and follow ups on small scale/crowd-sourced experiments & research.
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields" (by autonomousvision)
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer) (by kakaobrain)
Normalizing flows in PyTorch
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoderProject mention: Ask HN: What weird technical scene are you fond/part of? | news.ycombinator.com | 2022-11-21
I'm in the deep learning music scene, which is due for its stable diffusion moment in the next year or two. The (primarily) timbre transfer system called RAVE is where I'm starting, and my contribution is to optimize the system to improve training time.
High-fidelity performance metrics for generative models in PyTorch
Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)Project mention: The new neural network from NVIDIA can apply special effects to video using simple text commands. | reddit.com/r/callabacloud | 2023-01-31
The source code of the neural network can be found on GitHub: https://github.com/omerbt/Text2LIVE
Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)Project mention: Who is building StableDiffusion/DALL-E but for 3D assets? | reddit.com/r/machinelearningnews | 2022-09-07
Convenient MIDI / symbolic music tokenizers for Deep Learning networks 🎶
[ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes DatasetProject mention: CelebV-HQ is a large-scale video facial attributes dataset. It contains 35,666 video clips involving 15,653 identities and 83 manually labeled facial attributes covering appearance, action, and emotion. (by Zhu et al.) | reddit.com/r/machinelearningnews | 2022-11-20
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Official release of the ProGen modelsProject mention: Salesforce/progen: projects and models for protein engineering and design | news.ycombinator.com | 2023-01-29
Benchmarking Generative Models with ArtworksProject mention: Public U. Art Club [ so far ✌️ ] | reddit.com/r/comics | 2023-01-05
This example is a data set that's been created for training AI models on differentiating between different styles of art. But at the end of that data set an AI is no more capable of defining what impressionism is than it was before but it can produce new art that appears to be impressionist, surrealist, cubist, whatever based on the examples it's been given and the only reason they don't seem to be copies of any handful of paintings is because the AI has scanned and indexed 1,000 distinct paintings in that style. But a human brain can look at a handful of impressionist painting and intuit the commonalities that make "impressionism" a unique style.
Implementation of papers in 100 lines of code.
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: [D] Hosting AI Art Generative ML Model | reddit.com/r/MachineLearning | 2022-03-23
WOMBO I suspect uses the feed forward inferential approach to VQGAN + CLIP (instead of finetuning, predict the final z latent vector for a given text input) which is why their outputs are less sophisticated: as a result there are many deployment optimizations you can do to speed that up, which may be complicated.
A minimal implementation of diffusion models for text generationProject mention: [D] would diffusion language models make sense? | reddit.com/r/MachineLearning | 2022-10-24
In case you’re interested, I have a minimal implementation here: https://github.com/madaan/minimal-text-diffusion
Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generationProject mention: Microsoft AI Researchers Develop MoLeR: A Deep Learning-Based Generative Model That Enables Efficient Drug Design | reddit.com/r/bigdata | 2022-04-30
A Euclidean diffusion model for structure-based drug design.Project mention: Learn diffusion models with Hugging Face course 🧨 | reddit.com/r/learnmachinelearning | 2022-11-04
I'm referring to recent works like DiffLinker (https://github.com/igashov/DiffLinker) and DiffSBDD (https://github.com/arneschneuing/diffsbdd) which use diffusion to generate new ligands or fragments of molecules. If there's enough interest, we could find space to include these exciting topics in the course :)
🖼 Training StyleGAN2 on TPUs in JAXProject mention: This Food Does Not Exist | reddit.com/r/MediaSynthesis | 2022-10-27
Hierarchical fast and high-fidelity audio generation
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Python generative-model related posts
Gdy ktoś cię nazywa mnie ruskim agentem, to zawsze przypominam sobie te obrazki.
1 project | reddit.com/r/konfa | 5 Feb 2023
I was on this website when this image popped up. Even thought I know it's fake and just AI, it still terrified me.
1 project | reddit.com/r/oddlyterrifying | 4 Feb 2023
Would a loan of 80 lakhs to study at Stanford be worth it?
1 project | reddit.com/r/developersIndia | 4 Feb 2023
Some websites even simple ask me to send my passport picture for them to delete my data, what can I do?
1 project | reddit.com/r/gdpr | 3 Feb 2023
i'm overthinking my pfp too much
1 project | reddit.com/r/teenagers | 2 Feb 2023
A developer on twitter asked an AI to generate party pictures…
2 projects | reddit.com/r/oddlyterrifying | 2 Feb 2023
AI-generated Realistic Amelia Watson
1 project | reddit.com/r/Hololive | 2 Feb 2023
A note from our sponsor - #<SponsorshipServiceOld:0x00007fea59ba9780>
www.saashub.com | 5 Feb 2023
What are some of the best open-source generative-model projects in Python? This list will help you: