A Deep generative model that can generate art - trained on subreddits of art.
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Updated
Dec 3, 2021 - Python
A Deep generative model that can generate art - trained on subreddits of art.
A StyleGAN based on NVIDIA's paper.
A TensorFlow implementation of "Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory" (published in CIKM2017).
Different types of Generative Adversarial Networks and their applications, training workflow, etc.
A Tensorflow-layer API Implementation of Deep Generative Models (MNIST Examples)
Pipeline to create Paper2Fig dataset, a dataset for text-to-image generation from research papers and figures (e.g., diagrams of architectures or methods in fields like Machine Learning or Computer Vision)
A Time-series Image Segmentation tool with Semi-Unsupervised Encoders.
Hierarchical generative and regressive machine learning for next generation materials screening
Code for "Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series" @AAAI2021
Deep generative models in a reinforcement learning framework.
Implementation of MADE (Masked Autoencoder for Distribution Estimation) with chainer
mirror of the MeDIL Python package for causal modeling
Application of deep generative model discovers novel and diverse functional peptides against microbial resistance
Code for variable skipping ICML 2020 paper
Code, documentation, and tutorial for the DGD model trained on bulk RNA-Seq data.
Jointly Learning Word and Metadata Embeddings: Latent Meaning Cells Applied to Clinical Acronym Expansion
Official code repository for the paper: Removing Structured Noise using Diffusion Models
VEGA: VAE Enhanced by Gene Annotations
Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
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