There are 2 repositories under auto-encoder topic.
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Anomaly detection tutorial on univariate time series with an auto-encoder
Experiments on unsupervised point cloud reconstruction.
Implementation of a 3D Face Generative Model
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测
Face enhancer - Denoising Auto Encoder by Tensorflow and Keras and skimage
Custom PyTorch model (VGG-16 Auto-Encoder) and custom criterion (Local Aggregation) for image clustering. The repo contains elaborated creation of fungi image data using factory method.
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Learning Embedding of 3D models with Quadric Loss
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
A neural text style transfer model
A simple document and image search engine implemented in keras
2020 Spring Fudan University Machine Learning Course HW by prof. Chen Qin. 复旦大学大数据学院2020年春季课程-人工智能与机器学习(DATA620006)
Programming assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.
PyTorch Implementation of Self-Supervised Learning models
A simple, easy-to-use and flexible auto-encoder neural network implementation for Keras
Implementation of Consistency-based anomaly detection (ConAD)
TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템
PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer" - tuned version
Evaluation of the Single-Image Camera-to-Robot Pose Estimation deep learning research by NVIDIA on the Jaco Gen 2 6DoF KG-3 Robot Arm from Kinova Robotics.
A journey to implement auto encoder-based generative models for images.
Predict which products will an Instacart consumer purchase again. (Machine Learning)
The official implementation of unsupervised feature selection via transformed auto-encoder.