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Type: User
Bio: Data Scientist, Machine Learning Engineer
Type: User
Bio: Data Scientist, Machine Learning Engineer
A VGGish implementation with Deep Ensemble used for the TUT Acoustic Scene dataset
1-max pooling CNN for robust audio event recognition
Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification
Data augmentation using synthetic data for time series classification with deep residual networks
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
A MATLAB implementation of Adaptive k-Nearest Neighbor Algorithms called Ada-kNN and Ada-kNN2 (alongside a global weighting scheme for handling class imbalance).
Coursera hosted course solutions for Computer vision - https://www.coursera.org/learn/deep-learning-in-computer-vision
Auto encoder for time series
Repository of KDD Cup, 2018.
Machine Learning models for early detection of Alzheimer's disease using event-related potentials.
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
Animation with Plotly
Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
paper reading
This features set was implemented in my following works:
A curated list of awesome resources related to capsule networks
Repository with all what is necessary for sentiment analysis and related areas
A reading list (and code) of resources dedicated to visual question answering.
A curated list of repositories for my book Machine Learning Solutions.
EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models
Chapterwise code available in the book
We study the correlation between the CNN activations of various images from ImageNet on CNN architecture such as ResNet50, VGGNet, Inception V3, AlexNet and with that of the Brain data vectors obtained through FMRI, EEG, MEG etc
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
Fall Detection Using Ultra-Wideband Radar and Capsule Network
Implementation of the Capsule Network architecture with tensorflow
My realization of new Hinton's CapsNet with routing and capsule-wise convolution
An attempt at developing a GAN based on Capsule Net for Discriminator and Inverse-Capsule for Generator
A tiny implementation of Capsule Network
Keras and tensorflow implementation of capsule network.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.