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A toolkit for making real world machine learning and data analysis applications in C++
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
This project contains some neural network code
C++ implementation of Logistic Regression with MPI parallelization
A very simple, fast, multithreaded, platform independent HTTP and HTTPS server and client library implemented using C++11 and Boost.Asio. Created to be an easy way to make REST resources available …
Keras code and weights files for popular deep learning models.
Code for the Kaggle Ensembling Guide Article on MLWave
Keras implementation of class activation mapping
A Keras 2 implementation of Vgg16 model and example of usage on kaggle cats dogs competition
An implementation of Grad-CAM with keras
Project on Random Forest Algorithm by using the Sonar Dataset
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
An abductive framework for the interpretation of time series, with special application to ECG data.
Companion code to my O'Reilly book "Flask Web Development", second edition.
make a better chinese character recognition OCR than tesseract
Code and Data for "Predicting First Impressions with Deep Learning"
Models and examples built with TensorFlow
a simple implementation of Arrithymia detection nets
初学深度学习,自己在网上看到一个kaggle的博客,在此基础进行了摸索,最终进行实现和完善。
A python package that includes many methods for decoding neural activity