TensorFlow template application for deep learning
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Updated
Jan 3, 2019 - Python
TensorFlow template application for deep learning
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Ruby language bindings for LIBSVM
Reatime Face Recognizer on Android
Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)
LIBSVM for the browser and nodejs
FFSVM stands for "Really Fast Support Vector Machine"
基于LibSVM实现的验证码识别,通过对验证码图片进行二值化、去噪、切割等处理后,对每个字符进行识别。识别过程采用LibSVM来实现。可用于识别网站登录的验证码。
Sparse learning in TensorFlow using data acquired from Spark.
3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)
Support Vector Regression for Unsupervised Machine Learning
零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
Learning based explicit nonlinear model predictive control based on robust nonlinear regression and reduced-set support vector machines
various models implemented via tensorflow
A 3D face recognition by using PCA and SVM.
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
Access the Linear or RBF kernel SVM from OCaml using the R e1071 or svmpath packages
Classify the MNIST data by LIBSVM in Matlab.
Decision Boundaries Visualization of SVDD (libsvm-3.23)
.NET wrapper for LIBSVM written in C#
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Context:
While trying to cover tests for WASM loaded SVM's
predict, I've encountered an issue of incorrect prediction results between running a test by itself vs running tests in-band.Problematic test: