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support-vector-machine
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M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
python
opencv
machine-learning
jupyter-notebook
support-vector-machine
decision-tree
classifying-handwritten-digits
conda-environment
bayesian-learning
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Feb 5, 2019 - Jupyter Notebook
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
python
scikit-learn
beats
artificial-neural-networks
support-vector-machine
patients
mit-bih-arrhythmia
inter-patient
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Aug 28, 2019 - Python
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
scikit-learn
mnist-classification
support-vector-machine
svm-mnist
svm-mnist-classification
scikitlearn-mnist
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Apr 1, 2019 - Python
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
machine-learning
deep-learning
tensorflow
artificial-intelligence
supervised-learning
classification
artificial-neural-networks
convolutional-neural-networks
support-vector-machine
softmax-layer
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May 28, 2020 - Python
目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.
java
machine-learning
tree
algorithm
neural-network
structure
linear
nearest-neighbor
support-vector-machine
rule
dl4j
probabilistic-graphical
nd4j
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Jun 9, 2020 - Java
python
opencv
machine-learning
sign-language
image-processing
nearest-neighbor
logistic-regression
support-vector-machine
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Apr 5, 2019 - Python
Oblivion97
commented
Oct 8, 2019
How can I configure it for my native language?& if I want to test yours, how would I start the training & test the model?
Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
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Apr 3, 2020 - JavaScript
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
machine-learning
computer-vision
deep-learning
tensorflow
recurrent-neural-networks
artificial-intelligence
supervised-learning
classification
image-classification
artificial-neural-networks
convolutional-neural-networks
support-vector-machine
malware-detection
multilayer-perceptron
gated-recurrent-units
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May 22, 2020 - Python
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
machine-learning
tensorflow
svm
recurrent-neural-networks
artificial-intelligence
gru
supervised-learning
classification
intrusion-detection
rnn
artificial-neural-networks
support-vector-machine
rnn-tensorflow
svm-classifier
softmax
classification-task
gru-svm
gru-model
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May 22, 2020 - Python
Learning to create Machine Learning Algorithms
machine-learning-algorithms
datascience
naive-bayes-classifier
logistic-regression
support-vector-machine
polynomial-regression
decision-tree-classifier
dataprocessing
classification-algorithims
random-forest-regressor
support-vector-regression
multiple-regression
decision-tree-regression
k-means-implementation-in-python
k-means-clustering
kernel-svm
random-forest-classifier
simple-linear-regression
k-nearest-neighbors
machine-learning-az
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Jan 16, 2020 - Python
Ordinal Regression and Classification Algorithms
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May 21, 2020 - MATLAB
LIBSVM for the browser and nodejs 🔥
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Mar 20, 2019 - JavaScript
A curated list of Best Artificial Intelligence Resources
data-science
machine-learning
reinforcement-learning
resource
deep-learning
random-forest
tensorflow
mathematics
regression
resources
artificial-intelligence
gan
neural-networks
rnn
convolutional-neural-networks
kmeans
support-vector-machine
decision-trees
knn
artificial-intelligence-algorithms
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May 24, 2020 - Jupyter Notebook
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
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Dec 13, 2019 - R
Machine learning semantic segmentation - Random Forest, SVM, GBC
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May 20, 2019 - Python
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
random-forest
tensorflow
support-vector-machine
confusion-matrix
t-sne
multi-layer-perceptron
classify-images
quadratic-discriminant-analysis
linear-discriminant-analysis
k-nearest-neighbors
extra-trees-classifier
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Dec 9, 2018 - Python
A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss
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Sep 17, 2018 - Python
Support Vector Machine in Javascript
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Apr 26, 2018 - JavaScript
Image Classification with `sklearn.svm`
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Sep 5, 2018 - Jupyter Notebook
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
machine-learning
tensorflow
linear-regression
scikit-learn
machine-learning-algorithms
supervised-learning
classification
logistic-regression
support-vector-machine
softmax-regression
binary-classification
nearest-neighbours-classifier
multilayer-perceptron
recurrent-neural-network
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May 22, 2020 - Python
Support Vector Machine in Python
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Jun 5, 2016 - Python
An Interactive Approach to Understanding Deep Learning with Keras
machine-learning
tensorflow
scikit-learn
keras
cross-validation
regression
classification
artificial-neural-networks
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regularization
support-vector-machine
vectors
decision-trees
hyperparameter-tuning
model-evaluation
magnetic-resonance-imaging
k-means-clustering
model-tuning
scalars
linear-transformation
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Jun 3, 2020 - Jupyter Notebook
Stock predictor using Machine Learning
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Dec 4, 2015 - Python
Support Vector Regression using libSVM
machine-learning
regression
data-analytics
data-analysis
support-vector-machine
support-vector-machines
libsvm
model-reduction
mads
model-analysis
support-vector-regression
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Jun 2, 2020 - Julia
Support Vector Machine implemented in PyTorch
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Apr 6, 2018 - Jupyter Notebook
qlearning
random-forest
tensorflow
keras
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pytorch
lstm
gan
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logistic-regression
resnet
convolutional-neural-networks
support-vector-machine
decision-trees
ddpg
k-nearest-neighbours
actor-critic
trpo
ppo
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Jun 7, 2020 - Python
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Is your feature request related to a problem? Please describe.
When generating generating targeted attacks the method arguments
generate(x, y=None)can be confusing. In this caseyusually refers to the target label for the attack, but users may accidentally put the correct label there, rendering the attack ineffective.Describe the solution you'd like
Maybe we should change that