Deep neural network aided canonical correlation analysis (DNN-CCA) in Tensorflow and Keras
☆14Apr 24, 2021Updated 4 years ago
Alternatives and similar repositories for DNN-CCA
Users that are interested in DNN-CCA are comparing it to the libraries listed below
Sorting:
- An integrated software package for Industrial process monitoring and fault detection☆14Dec 22, 2018Updated 7 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Feb 23, 2020Updated 6 years ago
- Soft Sensor with Variational Inference Technique☆20Oct 15, 2024Updated last year
- A Benchmark Model Simulator for Process Control and Monitoring☆10Apr 17, 2025Updated 10 months ago
- 针对一维时间序列数据，采用GMM和K-Means算法进行异常点检测。For one-dimensional time series data, GMM and K-means algorithm are used to detect outliers.☆11Jan 16, 2021Updated 5 years ago
- ☆15Feb 12, 2026Updated 2 weeks ago
- Distributed variational Bayesian algorithms over sensor networks☆12Jun 30, 2017Updated 8 years ago
- High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals☆11May 31, 2019Updated 6 years ago
- Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".☆10Dec 18, 2021Updated 4 years ago
- [ICML2022] Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification☆12Jan 30, 2024Updated 2 years ago
- A collection of Fault Diagnosis python codes☆10Mar 13, 2022Updated 3 years ago
- Simple Tensorflow implementation of Squeeze Excitation Networks (ResNeXt, Inception-v4, Inception-resnet-v2). Include focal loss, center …☆10Nov 29, 2017Updated 8 years ago
- A Repository for Machine Learning Algorithms for easy Understanding☆12Dec 10, 2018Updated 7 years ago
- 利用深度学习自编码器进行故障诊断的程序☆10May 27, 2018Updated 7 years ago
- The codes for ¨Multiscale Multitask Deep NetVLAD for Crowd Counting¨ published on IEEE Transactions on Industrial Informatics☆10Oct 23, 2018Updated 7 years ago
- paper: Development of GCN-based soft sensor for quality prediction of process industry☆12Jun 16, 2024Updated last year
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 6 years ago
- Continuous relaxation of Random Regression Forests☆16Mar 25, 2018Updated 7 years ago
- Convolutional Sparse Auto-Encoders☆10Mar 29, 2018Updated 7 years ago
- The code for NISTA_Net☆11Apr 7, 2023Updated 2 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Oct 1, 2015Updated 10 years ago
- ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL (ICLR 2025 Pytorch Code)☆17May 15, 2025Updated 9 months ago
- Textural features (Coarseness, Contrast and Directionality)☆12Jun 2, 2017Updated 8 years ago
- a simple test for understanding the theory of GAN, [matlab code]☆12Nov 20, 2017Updated 8 years ago
- ☆17Mar 15, 2021Updated 4 years ago
- ExpertFingerprinting: Behavioral Pattern Analysis and Specialization Mapping of Experts in GPT-OSS-20B's Mixture-of-Experts Architecture☆24Feb 3, 2026Updated 3 weeks ago
- Unified index for unsupervised fault detection in a Tennessee Eastman Process☆13Sep 18, 2019Updated 6 years ago
- CCA for SSVEP, DNN for SSVEP, ROS-BCI☆16Jun 2, 2021Updated 4 years ago
- Variational Gaussian mixture model for MATLAB.☆14Mar 2, 2021Updated 4 years ago
- The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG data…☆13Mar 29, 2023Updated 2 years ago
- This is an Tensorflow implementation of semi-supervised learning with the following methods: Pseudo-label, Pi_model, VAT, mean_teacher, M…☆12Jul 23, 2020Updated 5 years ago
- Deep network embedding for graph representation learning in signed networks☆14Jul 8, 2020Updated 5 years ago
- ☆14May 9, 2021Updated 4 years ago
- Labs for Network Principle course, Fall 2018, Tsinghua University☆18Jun 6, 2019Updated 6 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Jun 27, 2015Updated 10 years ago
- ☆10Nov 27, 2023Updated 2 years ago
- When you want to be a brilliant man, you should write down something interesting thing for recall.☆12Dec 18, 2022Updated 3 years ago
- ☆14Dec 29, 2019Updated 6 years ago
- ☆14Feb 19, 2019Updated 7 years ago