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.
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
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.
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.
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Implementation of a 3D Face Generative Model
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
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
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation
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.
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
Programming assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.
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.
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)
Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.
PyTorch Implementation of Self-Supervised Learning models
A neural text style transfer model
A simple document and image search engine implemented in keras
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.
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.
Learning to learn: Memory-Guided Evolution of Computation Graphs via Self-Compressing Fitness-Regularized Latent Space
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템
Implementation of AutoEncoder in PyTorch for k-Means Clustering
PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer" - tuned version
Predict which products will an Instacart consumer purchase again. (Machine Learning)