Popular GitHub Repositories for Stacked Denoising Autoencoder

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

SwinIR: Image Restoration Using Swin Transformer (official repository)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Collection of generative models in Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

The state-of-the-art image restoration model without nonlinear activation functions.

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Collection of popular and reproducible image denoising works.

Awesome GAN for Medical Imaging

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Audio generation using diffusion models, in PyTorch.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding