206 Open source projects that are alternatives of or similar to Generalized-PixelVAE

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

DGMs for NLP. A roadmap.

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

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Implementation of VLAE

No description or website provided.

Guided Conditional Wasserstein GAN for De Novo Protein Design

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

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

Pytorch implementation of CycleGAN.

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

Variants of Vision Transformer and its downstream tasks

A collection of Methods and Models for various architectures of Artificial Neural Networks

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

Natural Gradient, Variational Inference

Regression with Summary Statistics.

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

My pytorch implementation for GAN

Learning about Haskell with Variational Autoencoders

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

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

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

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

No description or website provided.

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

Bayesian mixture models for estimating and clustering cancer cell fractions

A Latent Dirichlet Allocation implementation in Python.

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen

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

Deep active inference agents using Monte-Carlo methods

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

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

Variational autoencoder for anomaly detection (in PyTorch).

Tensorflow-based framework to ease training of generative models

Code for the paper Implicit Weight Uncertainty in Neural Networks

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

We got a stew going!

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

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

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

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

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

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

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)

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

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

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.

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

Public release of data and code for materials synthesis generation

Official repository for the ShapeFormer Project

Improving MMD-GAN training with repulsive loss function

Demultiplexing pooled scRNA-seq data with or without genotype reference

A toy model of Friston's active inference in Tensorflow

Implementation of Sequential Attend, Infer, Repeat (SQAIR)