Jerry-Jie-Xie's repositories
Frog-call-segmentation-and-classification
Bioacoustic signal classification in continuous recordings: syllable-segmentation vs. sliding-window
Jerry-Jie-Xie
Config files for my GitHub profile.
adaboostCNN
Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.
AQI_forecasting
AQI_forecasting
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
flask-vuejs-template
Flask + Vue JS Template
Jerry-Jie-Xie.github.io
Personal website
netlab
Fork of NETLAB toolbox written by Ian T. Nabney.
Ph.D-Thesis
Acoustic Classification of Australian frogs for ecosystem survey. Ph.D. thesis
Project_FrogLossFunctionCNN
Invesetigate loss and CNN for frog call classification
SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features