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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Easily generate thousands of 3D models, images, and animation NFTs automatically in Blender for free with Blend_My_NFTs.

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

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

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

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

Vector Quantized VAEs - PyTorch Implementation

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

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

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

List of DL topics and resources essential for cracking interviews

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

Noise Conditional Score Networks (NeurIPS 2019, Oral)

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

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

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

DGMs for NLP. A roadmap.

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

Easy generative modeling in PyTorch.

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

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).

Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)