Popular GitHub Repositories for Masked Autoencoder

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

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

OpenMMLab Pre-training Toolbox and Benchmark

[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.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

A PyTorch Toolbox for Face Recognition

Advanced Deep Learning with Keras, published by Packt

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Use unsupervised and supervised learning to predict stocks

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

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

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

[ICLR'23 Spotlight?] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"