153 Open source projects that are alternatives of or similar to denoising-diffusion-pytorch

Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Building Virtual Reality Worlds using Three.js

Style transfer using deep convolutional neural nets

Deep Markov Models

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

Anime Generation

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

PyTorch Implementation of Generative Query Network

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

A stable algorithm for GAN training

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

Torch Implemention of ECCV'16 paper: Attribute2Image

A pytorch implementation of MINE(Mutual Information Neural Estimation)

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Multi-style Generative Network for Real-time Transfer

Conditional out-of-distribution prediction

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Single cell perturbation prediction

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Unsupervised learning and generative models in python/pytorch.

A basic and simple tool for code auto completion

Pytorch implementation of Generated Image Quality Assessment

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

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

DGMs for NLP. A roadmap.

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Implementation of "MelNet: A Generative Model for Audio in the Frequency Domain"

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

The SimNets Architecture's Implementation in Caffe

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Semantic Image Inpainting

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

This repository contains the source code for the paper First Order Motion Model for Image Animation

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

Neural Relation Understanding: neural cardinality estimators for tabular data

Network-to-Network Translation with Conditional Invertible Neural Networks

Improving MMD-GAN training with repulsive loss function

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Stacked Generative Adversarial Networks

Periodic Spatial Generative Adversarial Networks

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Spectral Normalization for Keras Dense and Convolution Layers

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Implementation of VLAE