drzohaibh
Postdoctoral Researcher at Zhejiang Lab. Interested in Machine learning and its applications in bioinformatics.
Zhejiang LaboratoryHangzhou
Pinned Repositories
challenge-iclr-2022
GitHub repository for the ICLR Computational Geometry & Topology Challenge 2022
DBM-Transient
DBM-Transient: A MATLAB implementation of a Deep Boltzmann Machine (DBM) in to a new transient state.
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
dreem-learning-evaluation
Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
geomstats
Computations and statistics on manifolds with geometric structures.
KPCA-MATLAB
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
lpproj
Locality Preserving Projections in Python
megaman
megaman: Manifold Learning for Millions of Points
ML-DL_book
Machine learning, Deep learning
NPE-and-LPP
Supervised Neighborhood Preserving Embedding and Locality Presering Projections(LPP)in python
drzohaibh's Repositories
drzohaibh/DBM-Transient
DBM-Transient: A MATLAB implementation of a Deep Boltzmann Machine (DBM) in to a new transient state.
drzohaibh/challenge-iclr-2022
GitHub repository for the ICLR Computational Geometry & Topology Challenge 2022
drzohaibh/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
drzohaibh/dreem-learning-evaluation
Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
drzohaibh/geomstats
Computations and statistics on manifolds with geometric structures.
drzohaibh/KPCA-MATLAB
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
drzohaibh/lpproj
Locality Preserving Projections in Python
drzohaibh/megaman
megaman: Manifold Learning for Millions of Points
drzohaibh/ML-DL_book
Machine learning, Deep learning
drzohaibh/NPE-and-LPP
Supervised Neighborhood Preserving Embedding and Locality Presering Projections(LPP)in python
drzohaibh/npnn
Neighborhood Preserving Neural Network
drzohaibh/python_for_microscopists
Working
drzohaibh/sklearn-lpp
scikit-learn implementation of locality preserving projections (LPP)
drzohaibh/sklearn_tutorial
Scikit-learn tutorial
drzohaibh/sleep-datasets
Sleep datasets obtained using PSG for automatic sleep stage scoring.
drzohaibh/sleepeegpy
drzohaibh/SVDD-Python
Python code for abnormal detection using Support Vector Data Description (SVDD)
drzohaibh/Weak-Disentanglement
Code of the "Leveraging Relational Information for Learning Weakly Disentangled Representations" paper.