ChandanKSahu's Stars
npinto/py-lars
Naive implementation of Least Angle Regression
jbowlan/pyl1ls
Python + Numpy + Scipy Implementation of LARS and LASSO
opensanca/recommended_books
Livros Recomendados por usuários do DevAraraquara / OpenSanca
kyleperline/response_surface
albarji/proxTV
Matlab and Python toolbox for fast Total Variation proximity operators
stur86/tvregdiff
Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
paulcon/active_subspaces
Python Active-subspaces Utility Library
linanzhang/SINDyConvergenceExamples
rickchartrand/regularized_differentiation
Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and related penalty functions for regularization, allowing the derivative to be discontinuous.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
changwookjun/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.