generative-models

StarGAN - Official PyTorch Implementation (CVPR 2018)

Collection of generative models in Tensorflow

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

InstaGAN: Instance-aware Image Translation (ICLR 2019)

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Implementations of various VAE-based semi-supervised and generative models in PyTorch

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Vector Quantized VAEs - PyTorch Implementation

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

List of DL topics and resources essential for cracking interviews

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Noise Conditional Score Networks (NeurIPS 2019, Oral)

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

DGMs for NLP. A roadmap.

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Easy generative modeling in PyTorch.

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Variational Auto-Encoders in a Sequential Setting.

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes