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Implementation of basic ML algorithms from scratch in python...
Created
2019-03-11
36 commits to master branch, last one 3 years ago
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...
dbscan
naive-bayes
em-algorithm
newton-method
factor-analysis
lasso-regression
ridge-regression
k-nearest-neighbors
batch-gradient-descent
low-rank-approximation
support-vector-machine
multinomial-naive-bayes
expectation-maximization
latent-semantic-analysis
stochastic-gradient-descent
linear-discriminant-analysis
singular-value-decomposition
independent-component-analysis
sequential-minimal-optimization
expectation-maximization-algorithm
Created
2018-04-05
345 commits to master branch, last one 2 years ago
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
sgd
svrg
matlab
big-data
gradient
optimization
quasi-newton
classification
newtons-method
online-learning
machine-learning
linear-regression
variance-reduction
logistic-regression
softmax-classification
optimization-algorithms
gradient-descent-algorithm
machine-learning-algorithms
stochastic-gradient-descent
stochastic-optimization-algorithms
Created
2016-10-26
133 commits to master branch, last one about a year ago
Machine learning algorithms in Dart programming language
sgd
dart
softmax
dartlang
algorithm
classifier
regression
data-science
hyperparameters
lasso-regression
machine-learning
linear-regression
softmax-algorithm
softmax-classifier
softmax-regression
logistic-regression
batch-gradient-descent
machine-learning-algorithms
mini-batch-gradient-descent
stochastic-gradient-descent
Created
2017-04-02
1,065 commits to master branch, last one 3 months ago
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
Created
2018-04-07
173 commits to master branch, last one 7 days ago
Classifying the Blur and Clear Images
ann
python
neural-nets
clear-images
median-filter
softmax-layer
blur-detection
blurred-images
neural-network
backpropagation
computer-vision
neural-networks
grayscale-images
image-processing
machine-learning
laplace-smoothing
image-classification
classification-algorithm
artificial-neural-networks
stochastic-gradient-descent
Created
2017-07-11
62 commits to master branch, last one 4 years ago
Riemannian stochastic optimization algorithms: Version 1.0.3
sgd
big-data
manifold
optimization
online-learning
machine-learning
variance-reduction
riemannian-manifold
large-scale-learning
stochastic-optimizers
nonlinear-optimization
non-convex-optimization
optimization-algorithms
riemannian-optimization
stochastic-optimization
constrained-optimization
machine-learning-algorithms
stochastic-gradient-descent
nonlinear-optimization-algorithms
Created
2018-07-12
63 commits to master branch, last one about a year ago
Easy-to-use linear and non-linear solver
Created
2020-05-30
341 commits to main branch, last one 3 months ago
Exploiting Explainable Metrics for Augmented SGD [CVPR2022]
Created
2020-06-04
150 commits to main branch, last one 2 years ago