151 Open source projects that are alternatives of or similar to Diffusion-Models-Seminar

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

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

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

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.

Stacked Generative Adversarial Networks

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

DGMs for NLP. A roadmap.

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

🤖🖌️ 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.

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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)

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

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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

Improving MMD-GAN training with repulsive loss function

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

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Multi-style Generative Network for Real-time Transfer

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

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

Semantic Image Inpainting

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

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

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

Building Virtual Reality Worlds using Three.js

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

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

My pytorch implementation for GAN

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

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

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

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Implementation of VLAE

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

A stable algorithm for GAN training

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

Style transfer using deep convolutional neural nets

A basic and simple tool for code auto completion

A pytorch implementation of MINE(Mutual Information Neural Estimation)

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

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

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

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

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

Anime Generation

Torch Implemention of ECCV'16 paper: Attribute2Image

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

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

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

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

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

Single cell perturbation prediction

The SimNets Architecture's Implementation in Caffe

Network-to-Network Translation with Conditional Invertible Neural Networks

PyTorch Implementation of Generative Query Network

Conditional out-of-distribution prediction

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution