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Type: User
Bio: Data Scientist, Machine Learning Engineer
Type: User
Bio: Data Scientist, Machine Learning Engineer
Label tree embedding algorithm
Global list of resources for learning English across the web
A Matlab implementation of the capsule networks (or capsnet).
Localized Multiple Kernel Learning for Anomaly Detection: One-Class Classification
Add attention layer to LSTM/word2vec model for sentiment analysis using tensorflow
An LSTM for time-series classification
LVNet
Machine Learning Solutions, published by Packt
Using an LSTM and 4d convolutional network for lip reading
Linear Regression | Logistic Regression | Loglinear Regression | Regularization | KNN | DTree | Random Forest | SVM | HMM | EM | K-Mean | PCA | SVD | Recommender Systems
Makine Öğrenmesi Türkçe Kaynak
Multi channel deep convolutional neural network for time series classification
This is the companion curriculum to my guide to becoming a data scientist.
Mining Minds is a collection of services, tools and techniques working collaboratively to investigate on human’s daily routines to provide a personalized well-being and health-care support
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks论文实现
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Multi-level Dense Capsule Networks, in ACCV 2018
A Multi-Objective formulation of SVMs using the Radial Boundary Intersection framework
Attention-based multimodal fusion for sentiment analysis
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
An Multi-View CNN (MVCNN) implementation with TensorFlow.
MATLAB implementation of Near-Bayesian SVMs
TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation
Translation models using Deep Learning
Neural Machine Translation
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.