9 results found Sort:

Suji04
ML_from_Scratch Suji04
231
289
unknown
6
Implementation of basic ML algorithms from scratch in python...
python knn-algorithm youtube-channel gradient-descent linear-regression k-means-clustering logistic-regression decision-tree-classifier decision-tree-regression stochastic-gradient-descent
Created 2019-03-11
36 commits to master branch, last one 3 years ago
je-suis-tm
machine-learning je-suis-tm
52
233
apache-2.0
5
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
hiroyuki-kasai
SGDLibrary hiroyuki-kasai
85
225
mit
20
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
gyrdym
ml_algo gyrdym
32
193
bsd-2-clause
6
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 4 months ago
lixilinx
psgd_torch lixilinx
8
163
unknown
6
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
pytorch lie-groups affine-group deep-learning preconditioner hessian-vector-product low-rank-approximation optimization-algorithms second-order-optimization stochastic-gradient-descent kronecker-factored-approximation
Created 2018-04-07
173 commits to master branch, last one about a month ago
aditya9211
Blur-and-Clear-Classification aditya9211
23
124
unknown
6
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 5 years ago
hiroyuki-kasai
RSOpt hiroyuki-kasai
23
64
mit
5
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 2 years ago
polyfem
polysolve polyfem
18
51
mit
9
Easy-to-use linear and non-linear solver
cpp adam amgcl eigen hypre newton pardiso solvers wrapper linesearch suitesparse linear-solvers lbfgs-optimizer iterative-solvers nonlinear-optimization stochastic-gradient-descent
Created 2020-05-30
351 commits to main branch, last one 29 days ago
mahdihosseini
RMSGD mahdihosseini
13
45
mit
4
Exploiting Explainable Metrics for Augmented SGD [CVPR2022]
pytorch deep-learning stochastic-gradient-descent convolutional-neural-networks
Created 2020-06-04
150 commits to main branch, last one 2 years ago