Generative Models by Stability AI
#计算机科学#Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Generative models for conditional audio generation
Tweaking the generative model
Generative Tensorial Reinforcement Learning (GENTRL) model
A generative model for programmable protein design
Generative Neural Methods Based On Model Iteration
Generative image model with learned similarity measures
Code for the paper "Jukebox: A Generative Model for Music"
Sparse Additive Generative Model of Text
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Chinese Transformer Generative Pre-Training Model
GENERator: A Long-Context Generative Genomic Foundation Model
Unsupervised anomaly detection with generative model, keras implementation
Mol-CycleGAN - a generative model for molecular optimization
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model