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burlachenkok
About me
Resume
ΠΡΠΈΠΌΠ΅ΡΡ ΡΠ°Π±ΠΎΡ
Π Π΅Π·ΡΠΌΠ΅
About Me
Links
Download
Articles And Notes
Main
Algorithms and datastructs
Android development
Articles and Notes
A bit info about python(3) - Random notes
About matlab
About the book of A.N.Kolomogorov,S.V.Fomin - Introductionary Real Analysis
ARM CPU registers cheatsheet
Back to Fundamental things for DL Differentiation and Convolution
Backpropagation part II
Backpropagation part III (extra)
C++11 Π Π΅ΡΠ΅ΡΠ°Ρ ΠΏΠΎ ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΠΈΠΈ Π‘. ΠΠ΅ΠΉΠ΅ΡΡΠ°
C99 ΠΈ ΠΎΠ±ΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Π² Π½Π°ΡΠ°Π»Π΅ Π±Π»ΠΎΠΊΠ°
Computer Science. Open problems.
Convex Optimization Example - Logistic Regression
Convex Optimization Example - Regularization Terms
Correlations
Cuda
CUDA and parallel computation notes
cvx4ml: Convex Optimization for Machine Learning
Cython. Random notes. In progress.
Datamining (in process)
Dataset and it's estimation
Decision Trees PartI. Decision trees for regression
Decision Trees. Part II. Bagged Collection Of Decision Trees
Divide to zero / zero invert
E263C optimization for large scale systems (small note)
Eclipse usage
EE 263. Fun moments in introduction to linear dynamic system Stephen Boyd
EE364A. Convex optimization with S.Boyd
Fallacies about Newton Method
Faq about Fourier Transform
Far Manager
Fourier Transform and DFT properties
FT. Advanced
Function types
Git Commands
Google Test usage
Gui and Qt
Heat flow
How to install VNC server
Just 25 problems of Machine Learning
Lecture notes on models in Aritifical Intellegence from CS221 class
linux ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΠΈ ΠΏΡΡΠΈ
Main math models in area of interest of Machine Learning
Make 2d line from 2 points
Master Theorem
Networks, Random remarks (last update 02SEP2017)
Normalization and Regularization for Neural Nets
Not correct terminology embedded into field of ML/DL
Note about optimization point of view into classical Boosting
Note about various math systems and control
Notes about Discrete Optimization
Notes about GANs
Notes about Latex
Notes about Sequence Models in Deep Learning
Notes about TensorFlow computation framework
One interpretation when (A^T*A) is not singular
OpenCL SDK Linux
Perforce
Perl Test Script for experiments
Perl!
physics_waves
Pipeline in application level for AI projects
Programming guide for classic Π‘/Π‘++
Properties of KL divergence
Random notes about CS 330 Multi-Task Learning & Transfer Learning Basics
Random Notes about Docker
Random notes about non-convex optimization
Random notes about R language
Russian / English vocabulary of various terms in the area of Applied Matha
Small note about Gini Index of diversity
Solve via coordinate descend: Linear Regression with Elastic Net regularization
Some notes about ADMM method based on S.Boyd presentation in ETH
Some problems with decision tree
Spartial curve and Frene Basis
Stanford CS221: Convex optimization solvers with leveraging into GPU/CPU power for AI/ML
Stanford CS230: Experimental Neural Net Framework
Stanford ΠΈ ΠΠΠ’Π£ ΠΠ°ΡΠΌΠ°Π½Π° Π³Π»Π°Π·Π°ΠΌΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ°
Statistical parameter estimation and some variations
Useful geometry principles for Real Time Rendering
Visual Studio Debugging
What is cross-validation and some hints about it
What is regularization
Windows threads
ΠΠ°Π·ΠΎΠ²ΡΠ΅ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΠΠ ΠΈ ΠΏΠ°ΡΡΠ΅ΡΠ½Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ
ΠΠΈΡΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π½Π°ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅, Π΄Π»Ρ ΡΠ΅Ρ ΠΊΡΠΎ Π·Π½Π°Π΅Ρ ΠΏΠ»ΡΡΡ
ΠΠΎΠΏΡΠΎΡ ΠΏΡΠΎ Π»Π΅ΠΊΡΠΈΠΊΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΡΡ ΡΠΎΡΡΠΈΡΠΎΠ²ΠΊΡ
ΠΠΎΠΏΡΠΎΡΡ ΠΏΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ
ΠΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠΈΡΠ»Π΅Π½ΠΈΡ
ΠΠ· C++ Π² JAVA (From C++ to JAVA)
ΠΠ½ΡΠ΅ΡΠ΅ΡΠ½ΡΠ΅ ΠΌΠΎΠΌΠ΅Π½ΡΡ ΠΏΠΎ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π°Π»Π³Π΅ΡΠ±Π΅
ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ CMake
ΠΠΎΠΌΠ°Π½Π΄Ρ svn
ΠΠΎΡΡΠ΅ΠΊΡΠ½ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ RSA Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°
ΠΡΠ°ΡΠΊΠΈΠΉ ΡΠΏΡΠ°Π²ΠΎΡΠ½ΠΈΠΊ hg (mercurial)
ΠΠ€Π’Π, Π’Π΅ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠ΅Ρ Π°Π½ΠΈΠΊΠ° ΠΏΠΎ Π»Π΅ΠΊΡΠΈΡΠΌ ΠΠ°ΡΠΊΠ΅Π΅Π²Π° Π.Π.
ΠΠ°ΡΠΈΠ½Π½ΠΎΠ΅ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅ Π² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ΅ΡΠΌΠΈΠ½Π°Ρ (DRAFT)
ΠΠΎΠ΄Π΅Π»ΠΈ ΠΊΠΎΠ½ΡΠΈΡΡΠ΅Π½ΡΠΈΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΉ Π² ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°Π±ΡΠΎΠ»ΡΡΠ½ΠΎ ΡΠ²ΡΡΠ΄ΡΡ ΡΠ΅Π»
ΠΠΎΡΠΌΠ°Π»Ρ ΠΊ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡ Π½ΠΎΡΡΠΈ
ΠΠΏΡΠΈΠΊΠ°
ΠΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ ΠΈ ΠΏΡΠ΅Π»ΠΎΠΌΠ»Π΅Π½ΠΈΠ΅ Π»ΡΡΠ°
ΠΠ΅ΡΠ΅Π³ΡΡΠ·ΠΊΠ° ΠΈΠΌΠ΅Π½ Π² Π‘/Π‘++
ΠΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π½ΠΎΡΠΌΠ°Π»Π΅ΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΏΡΠΈΠ²ΡΠ·Π°Π½Π½ΡΡ ΠΊ ΠΎΠ±ΡΠ΅ΠΊΡΡ ΠΏΠΎΡΠ»Π΅ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ
ΠΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠΏΠΎΠ² Π² C/C++
ΠΡΠΎ ΡΡΠ΄ Π’Π΅ΠΉΠ»ΠΎΡΠ°
ΠΡΠΎ ΡΠ΅ΠΊΡΡΡΡΡ Π² OpenGL
ΠΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π² OpenGL
Π’Π΅ΠΎΡΠ΅ΠΌΠ° ΠΠ°Π³ΡΠ°Π½ΠΆΠ°. ΠΡΠΎΡΡΠΎΠΉ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅.
Π’Π΅ΠΎΡΠ΅ΠΌΡ ΠΈΠ· ΠΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ Π²Π°ΠΆΠ½ΡΠ΅ Π΄Π»Ρ ΠΊΡΠΈΠΏΡΠΎΠ³ΡΠ°ΡΠΈΠΈ
Π’Π΅Ρ.Π²Π΅Ρ. ΠΈ ΠΌΠ°Ρ. ΡΡΠ°Ρ. Π΄Π»Ρ ΠΌΠ°Ρ.ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ
Π’Π΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π‘/Π‘++
Π’ΡΡΠΊ ΠΏΠΎ ΠΎΡΠ»Π°Π΄ΠΊΠ΅ std::vector[]
Π’ΡΡΠΊΠΈ C++
Π£ΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΠ·ΠΈΠΊΠΈ
Π£ΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Mtu Π² Windows Π΄Π»Ρ ΠΎΡΡΡΡΠ²ΠΈΡ IP ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ
Backpropagation part I
Catalog of courses from Stanford relative to start on learning of Deep Learning/ML/Optimization
Condition number notes
Convex Optimization Example - SVM
Decision Trees.PartIII. Boosted Decision Trees. Need Math
Download
EE364b Convex Optimization II
Final Project CS231A
Fitting parameters in your math model
Funamental things around classification in Machine Learning/AI
Google Protobuf
How use convex optimization for combinatorial ksum problem
How use Convex Otpimization for energy processor scheduling
Jargon for classification
K-Nearest-Neighbors and things around it
L2 norm of complex valued function (screenshot)
Modeling Aspects in Machine Learning
MPI and MPI4PY
Notes about the book of Amir Beck, First-Order Methods in optimization, 2017
OpenCL
Overview of some papers in Deep Learning for Image tasks
Properties of convex,quasiconvex,logconcave functions
Python Relative Things
PyTorch resouces
PyTorch resources
Random features of C++11/C++14/C++17/C++20
Random notes
Random Notes about OpenCL
Random Notes about several classical DL architectures
Random notes on RL and control
Reinstall NVIDIA driver for Linux (in case of problems)
Short note on Generalized Linear Models
SMT and Z3
Software optimization Technics (draft)
Some characteristics of several random variables
Some notes about Iterative methods for solve linear equations
Some ways to intepretate black-box models
Subtle notes relative to SVD
Svd
Unreal Engine 4 Editor
Useful home code snippets and various tools
Valgrind tools
Various References
Various small tools
Various way to implement rsqrt(x) in C++ (22 AUG 2017)
ΠΠ°ΠΌΠ΅ΡΠΊΠΈ ΠΏΡΠΎ Π°ΡΠ°ΠΊΠΈ Π½Π° Π²Π΅Π± ΡΠ΅ΡΠ²ΠΈΡΡ
Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ·ΡΠΊΠΎΠ² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ
Π₯ΠΈΡΡΡΠ΅ ΡΠ΅ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ C++
burlachenkok
About me
Resume
ΠΡΠΈΠΌΠ΅ΡΡ ΡΠ°Π±ΠΎΡ
Π Π΅Π·ΡΠΌΠ΅
About Me
Links
Download
Articles And Notes
Main
Algorithms and datastructs
Android development
Articles and Notes
A bit info about python(3) - Random notes
About matlab
About the book of A.N.Kolomogorov,S.V.Fomin - Introductionary Real Analysis
ARM CPU registers cheatsheet
Back to Fundamental things for DL Differentiation and Convolution
Backpropagation part II
Backpropagation part III (extra)
C++11 Π Π΅ΡΠ΅ΡΠ°Ρ ΠΏΠΎ ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΠΈΠΈ Π‘. ΠΠ΅ΠΉΠ΅ΡΡΠ°
C99 ΠΈ ΠΎΠ±ΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Π² Π½Π°ΡΠ°Π»Π΅ Π±Π»ΠΎΠΊΠ°
Computer Science. Open problems.
Convex Optimization Example - Logistic Regression
Convex Optimization Example - Regularization Terms
Correlations
Cuda
CUDA and parallel computation notes
cvx4ml: Convex Optimization for Machine Learning
Cython. Random notes. In progress.
Datamining (in process)
Dataset and it's estimation
Decision Trees PartI. Decision trees for regression
Decision Trees. Part II. Bagged Collection Of Decision Trees
Divide to zero / zero invert
E263C optimization for large scale systems (small note)
Eclipse usage
EE 263. Fun moments in introduction to linear dynamic system Stephen Boyd
EE364A. Convex optimization with S.Boyd
Fallacies about Newton Method
Faq about Fourier Transform
Far Manager
Fourier Transform and DFT properties
FT. Advanced
Function types
Git Commands
Google Test usage
Gui and Qt
Heat flow
How to install VNC server
Just 25 problems of Machine Learning
Lecture notes on models in Aritifical Intellegence from CS221 class
linux ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΠΈ ΠΏΡΡΠΈ
Main math models in area of interest of Machine Learning
Make 2d line from 2 points
Master Theorem
Networks, Random remarks (last update 02SEP2017)
Normalization and Regularization for Neural Nets
Not correct terminology embedded into field of ML/DL
Note about optimization point of view into classical Boosting
Note about various math systems and control
Notes about Discrete Optimization
Notes about GANs
Notes about Latex
Notes about Sequence Models in Deep Learning
Notes about TensorFlow computation framework
One interpretation when (A^T*A) is not singular
OpenCL SDK Linux
Perforce
Perl Test Script for experiments
Perl!
physics_waves
Pipeline in application level for AI projects
Programming guide for classic Π‘/Π‘++
Properties of KL divergence
Random notes about CS 330 Multi-Task Learning & Transfer Learning Basics
Random Notes about Docker
Random notes about non-convex optimization
Random notes about R language
Russian / English vocabulary of various terms in the area of Applied Matha
Small note about Gini Index of diversity
Solve via coordinate descend: Linear Regression with Elastic Net regularization
Some notes about ADMM method based on S.Boyd presentation in ETH
Some problems with decision tree
Spartial curve and Frene Basis
Stanford CS221: Convex optimization solvers with leveraging into GPU/CPU power for AI/ML
Stanford CS230: Experimental Neural Net Framework
Stanford ΠΈ ΠΠΠ’Π£ ΠΠ°ΡΠΌΠ°Π½Π° Π³Π»Π°Π·Π°ΠΌΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ°
Statistical parameter estimation and some variations
Useful geometry principles for Real Time Rendering
Visual Studio Debugging
What is cross-validation and some hints about it
What is regularization
Windows threads
ΠΠ°Π·ΠΎΠ²ΡΠ΅ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΠΠ ΠΈ ΠΏΠ°ΡΡΠ΅ΡΠ½Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ
ΠΠΈΡΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π½Π°ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅, Π΄Π»Ρ ΡΠ΅Ρ ΠΊΡΠΎ Π·Π½Π°Π΅Ρ ΠΏΠ»ΡΡΡ
ΠΠΎΠΏΡΠΎΡ ΠΏΡΠΎ Π»Π΅ΠΊΡΠΈΠΊΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΡΡ ΡΠΎΡΡΠΈΡΠΎΠ²ΠΊΡ
ΠΠΎΠΏΡΠΎΡΡ ΠΏΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ
ΠΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠΈΡΠ»Π΅Π½ΠΈΡ
ΠΠ· C++ Π² JAVA (From C++ to JAVA)
ΠΠ½ΡΠ΅ΡΠ΅ΡΠ½ΡΠ΅ ΠΌΠΎΠΌΠ΅Π½ΡΡ ΠΏΠΎ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π°Π»Π³Π΅ΡΠ±Π΅
ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ CMake
ΠΠΎΠΌΠ°Π½Π΄Ρ svn
ΠΠΎΡΡΠ΅ΠΊΡΠ½ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ RSA Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°
ΠΡΠ°ΡΠΊΠΈΠΉ ΡΠΏΡΠ°Π²ΠΎΡΠ½ΠΈΠΊ hg (mercurial)
ΠΠ€Π’Π, Π’Π΅ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠ΅Ρ Π°Π½ΠΈΠΊΠ° ΠΏΠΎ Π»Π΅ΠΊΡΠΈΡΠΌ ΠΠ°ΡΠΊΠ΅Π΅Π²Π° Π.Π.
ΠΠ°ΡΠΈΠ½Π½ΠΎΠ΅ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅ Π² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ΅ΡΠΌΠΈΠ½Π°Ρ (DRAFT)
ΠΠΎΠ΄Π΅Π»ΠΈ ΠΊΠΎΠ½ΡΠΈΡΡΠ΅Π½ΡΠΈΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΉ Π² ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°Π±ΡΠΎΠ»ΡΡΠ½ΠΎ ΡΠ²ΡΡΠ΄ΡΡ ΡΠ΅Π»
ΠΠΎΡΠΌΠ°Π»Ρ ΠΊ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡ Π½ΠΎΡΡΠΈ
ΠΠΏΡΠΈΠΊΠ°
ΠΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ ΠΈ ΠΏΡΠ΅Π»ΠΎΠΌΠ»Π΅Π½ΠΈΠ΅ Π»ΡΡΠ°
ΠΠ΅ΡΠ΅Π³ΡΡΠ·ΠΊΠ° ΠΈΠΌΠ΅Π½ Π² Π‘/Π‘++
ΠΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π½ΠΎΡΠΌΠ°Π»Π΅ΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΏΡΠΈΠ²ΡΠ·Π°Π½Π½ΡΡ ΠΊ ΠΎΠ±ΡΠ΅ΠΊΡΡ ΠΏΠΎΡΠ»Π΅ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ
ΠΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠΏΠΎΠ² Π² C/C++
ΠΡΠΎ ΡΡΠ΄ Π’Π΅ΠΉΠ»ΠΎΡΠ°
ΠΡΠΎ ΡΠ΅ΠΊΡΡΡΡΡ Π² OpenGL
ΠΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π² OpenGL
Π’Π΅ΠΎΡΠ΅ΠΌΠ° ΠΠ°Π³ΡΠ°Π½ΠΆΠ°. ΠΡΠΎΡΡΠΎΠΉ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅.
Π’Π΅ΠΎΡΠ΅ΠΌΡ ΠΈΠ· ΠΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ Π²Π°ΠΆΠ½ΡΠ΅ Π΄Π»Ρ ΠΊΡΠΈΠΏΡΠΎΠ³ΡΠ°ΡΠΈΠΈ
Π’Π΅Ρ.Π²Π΅Ρ. ΠΈ ΠΌΠ°Ρ. ΡΡΠ°Ρ. Π΄Π»Ρ ΠΌΠ°Ρ.ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ
Π’Π΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π‘/Π‘++
Π’ΡΡΠΊ ΠΏΠΎ ΠΎΡΠ»Π°Π΄ΠΊΠ΅ std::vector[]
Π’ΡΡΠΊΠΈ C++
Π£ΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΠ·ΠΈΠΊΠΈ
Π£ΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Mtu Π² Windows Π΄Π»Ρ ΠΎΡΡΡΡΠ²ΠΈΡ IP ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ
Backpropagation part I
Catalog of courses from Stanford relative to start on learning of Deep Learning/ML/Optimization
Condition number notes
Convex Optimization Example - SVM
Decision Trees.PartIII. Boosted Decision Trees. Need Math
Download
EE364b Convex Optimization II
Final Project CS231A
Fitting parameters in your math model
Funamental things around classification in Machine Learning/AI
Google Protobuf
How use convex optimization for combinatorial ksum problem
How use Convex Otpimization for energy processor scheduling
Jargon for classification
K-Nearest-Neighbors and things around it
L2 norm of complex valued function (screenshot)
Modeling Aspects in Machine Learning
MPI and MPI4PY
Notes about the book of Amir Beck, First-Order Methods in optimization, 2017
OpenCL
Overview of some papers in Deep Learning for Image tasks
Properties of convex,quasiconvex,logconcave functions
Python Relative Things
PyTorch resouces
PyTorch resources
Random features of C++11/C++14/C++17/C++20
Random notes
Random Notes about OpenCL
Random Notes about several classical DL architectures
Random notes on RL and control
Reinstall NVIDIA driver for Linux (in case of problems)
Short note on Generalized Linear Models
SMT and Z3
Software optimization Technics (draft)
Some characteristics of several random variables
Some notes about Iterative methods for solve linear equations
Some ways to intepretate black-box models
Subtle notes relative to SVD
Svd
Unreal Engine 4 Editor
Useful home code snippets and various tools
Valgrind tools
Various References
Various small tools
Various way to implement rsqrt(x) in C++ (22 AUG 2017)
ΠΠ°ΠΌΠ΅ΡΠΊΠΈ ΠΏΡΠΎ Π°ΡΠ°ΠΊΠΈ Π½Π° Π²Π΅Π± ΡΠ΅ΡΠ²ΠΈΡΡ
Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ·ΡΠΊΠΎΠ² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ
Π₯ΠΈΡΡΡΠ΅ ΡΠ΅ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ C++
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ARM CPU registers cheatsheet
Back to Fundamental things for DL Differentiation and Convolution
Backpropagation part II
Backpropagation part III (extra)
C++11 Π Π΅ΡΠ΅ΡΠ°Ρ ΠΏΠΎ ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΠΈΠΈ Π‘. ΠΠ΅ΠΉΠ΅ΡΡΠ°
C99 ΠΈ ΠΎΠ±ΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Π² Π½Π°ΡΠ°Π»Π΅ Π±Π»ΠΎΠΊΠ°
Computer Science. Open problems.
Convex Optimization Example - Logistic Regression
Convex Optimization Example - Regularization Terms
Correlations
Cuda
CUDA and parallel computation notes
cvx4ml: Convex Optimization for Machine Learning
Cython. Random notes. In progress.
Datamining (in process)
Dataset and it's estimation
Decision Trees PartI. Decision trees for regression
Decision Trees. Part II. Bagged Collection Of Decision Trees
Divide to zero / zero invert
E263C optimization for large scale systems (small note)
Eclipse usage
EE 263. Fun moments in introduction to linear dynamic system Stephen Boyd
EE364A. Convex optimization with S.Boyd
Fallacies about Newton Method
Faq about Fourier Transform
Far Manager
Fourier Transform and DFT properties
FT. Advanced
Function types
Git Commands
Google Test usage
Gui and Qt
Heat flow
How to install VNC server
Just 25 problems of Machine Learning
Lecture notes on models in Aritifical Intellegence from CS221 class
linux ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΠΈ ΠΏΡΡΠΈ
Main math models in area of interest of Machine Learning
Make 2d line from 2 points
Master Theorem
Networks, Random remarks (last update 02SEP2017)
Normalization and Regularization for Neural Nets
Not correct terminology embedded into field of ML/DL
Note about optimization point of view into classical Boosting
Note about various math systems and control
Notes about Discrete Optimization
Notes about GANs
Notes about Latex
Notes about Sequence Models in Deep Learning
Notes about TensorFlow computation framework
One interpretation when (A^T*A) is not singular
OpenCL SDK Linux
Perforce
Perl Test Script for experiments
Perl!
physics_waves
Pipeline in application level for AI projects
Programming guide for classic Π‘/Π‘++
Properties of KL divergence
Random notes about CS 330 Multi-Task Learning & Transfer Learning Basics
Random Notes about Docker
Random notes about non-convex optimization
Random notes about R language
Russian / English vocabulary of various terms in the area of Applied Matha
Small note about Gini Index of diversity
Solve via coordinate descend: Linear Regression with Elastic Net regularization
Some notes about ADMM method based on S.Boyd presentation in ETH
Some problems with decision tree
Spartial curve and Frene Basis
Stanford CS221: Convex optimization solvers with leveraging into GPU/CPU power for AI/ML
Stanford CS230: Experimental Neural Net Framework
Stanford ΠΈ ΠΠΠ’Π£ ΠΠ°ΡΠΌΠ°Π½Π° Π³Π»Π°Π·Π°ΠΌΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ°
Statistical parameter estimation and some variations
Useful geometry principles for Real Time Rendering
Visual Studio Debugging
What is cross-validation and some hints about it
What is regularization
Windows threads
ΠΠ°Π·ΠΎΠ²ΡΠ΅ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΠΠ ΠΈ ΠΏΠ°ΡΡΠ΅ΡΠ½Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ
ΠΠΈΡΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π½Π°ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅, Π΄Π»Ρ ΡΠ΅Ρ ΠΊΡΠΎ Π·Π½Π°Π΅Ρ ΠΏΠ»ΡΡΡ
ΠΠΎΠΏΡΠΎΡ ΠΏΡΠΎ Π»Π΅ΠΊΡΠΈΠΊΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΡΡ ΡΠΎΡΡΠΈΡΠΎΠ²ΠΊΡ
ΠΠΎΠΏΡΠΎΡΡ ΠΏΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ
ΠΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠΈΡΠ»Π΅Π½ΠΈΡ
ΠΠ· C++ Π² JAVA (From C++ to JAVA)
ΠΠ½ΡΠ΅ΡΠ΅ΡΠ½ΡΠ΅ ΠΌΠΎΠΌΠ΅Π½ΡΡ ΠΏΠΎ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π°Π»Π³Π΅ΡΠ±Π΅
ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ CMake
ΠΠΎΠΌΠ°Π½Π΄Ρ svn
ΠΠΎΡΡΠ΅ΠΊΡΠ½ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ RSA Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°
ΠΡΠ°ΡΠΊΠΈΠΉ ΡΠΏΡΠ°Π²ΠΎΡΠ½ΠΈΠΊ hg (mercurial)
ΠΠ€Π’Π, Π’Π΅ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠ΅Ρ Π°Π½ΠΈΠΊΠ° ΠΏΠΎ Π»Π΅ΠΊΡΠΈΡΠΌ ΠΠ°ΡΠΊΠ΅Π΅Π²Π° Π.Π.
ΠΠ°ΡΠΈΠ½Π½ΠΎΠ΅ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅ Π² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ΅ΡΠΌΠΈΠ½Π°Ρ (DRAFT)
ΠΠΎΠ΄Π΅Π»ΠΈ ΠΊΠΎΠ½ΡΠΈΡΡΠ΅Π½ΡΠΈΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΉ Π² ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°Π±ΡΠΎΠ»ΡΡΠ½ΠΎ ΡΠ²ΡΡΠ΄ΡΡ ΡΠ΅Π»
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ΠΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ ΠΈ ΠΏΡΠ΅Π»ΠΎΠΌΠ»Π΅Π½ΠΈΠ΅ Π»ΡΡΠ°
ΠΠ΅ΡΠ΅Π³ΡΡΠ·ΠΊΠ° ΠΈΠΌΠ΅Π½ Π² Π‘/Π‘++
ΠΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π½ΠΎΡΠΌΠ°Π»Π΅ΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΏΡΠΈΠ²ΡΠ·Π°Π½Π½ΡΡ ΠΊ ΠΎΠ±ΡΠ΅ΠΊΡΡ ΠΏΠΎΡΠ»Π΅ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ
ΠΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠΏΠΎΠ² Π² C/C++
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ΠΡΠΎ ΡΠ΅ΠΊΡΡΡΡΡ Π² OpenGL
ΠΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π² OpenGL
Π’Π΅ΠΎΡΠ΅ΠΌΠ° ΠΠ°Π³ΡΠ°Π½ΠΆΠ°. ΠΡΠΎΡΡΠΎΠΉ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅.
Π’Π΅ΠΎΡΠ΅ΠΌΡ ΠΈΠ· ΠΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ Π²Π°ΠΆΠ½ΡΠ΅ Π΄Π»Ρ ΠΊΡΠΈΠΏΡΠΎΠ³ΡΠ°ΡΠΈΠΈ
Π’Π΅Ρ.Π²Π΅Ρ. ΠΈ ΠΌΠ°Ρ. ΡΡΠ°Ρ. Π΄Π»Ρ ΠΌΠ°Ρ.ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ
Π’Π΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π‘/Π‘++
Π’ΡΡΠΊ ΠΏΠΎ ΠΎΡΠ»Π°Π΄ΠΊΠ΅ std::vector[]
Π’ΡΡΠΊΠΈ C++
Π£ΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΠ·ΠΈΠΊΠΈ
Π£ΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Mtu Π² Windows Π΄Π»Ρ ΠΎΡΡΡΡΠ²ΠΈΡ IP ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ
Backpropagation part I
Catalog of courses from Stanford relative to start on learning of Deep Learning/ML/Optimization
Condition number notes
Convex Optimization Example - SVM
Decision Trees.PartIII. Boosted Decision Trees. Need Math
Download
EE364b Convex Optimization II
Final Project CS231A
Fitting parameters in your math model
Funamental things around classification in Machine Learning/AI
Google Protobuf
How use convex optimization for combinatorial ksum problem
How use Convex Otpimization for energy processor scheduling
Jargon for classification
K-Nearest-Neighbors and things around it
L2 norm of complex valued function (screenshot)
Modeling Aspects in Machine Learning
MPI and MPI4PY
Notes about the book of Amir Beck, First-Order Methods in optimization, 2017
OpenCL
Overview of some papers in Deep Learning for Image tasks
Properties of convex,quasiconvex,logconcave functions
Python Relative Things
PyTorch resouces
PyTorch resources
Random features of C++11/C++14/C++17/C++20
Random notes
Random Notes about OpenCL
Random Notes about several classical DL architectures
Random notes on RL and control
Reinstall NVIDIA driver for Linux (in case of problems)
Short note on Generalized Linear Models
SMT and Z3
Software optimization Technics (draft)
Some characteristics of several random variables
Some notes about Iterative methods for solve linear equations
Some ways to intepretate black-box models
Subtle notes relative to SVD
Svd
Unreal Engine 4 Editor
Useful home code snippets and various tools
Valgrind tools
Various References
Various small tools
Various way to implement rsqrt(x) in C++ (22 AUG 2017)
ΠΠ°ΠΌΠ΅ΡΠΊΠΈ ΠΏΡΠΎ Π°ΡΠ°ΠΊΠΈ Π½Π° Π²Π΅Π± ΡΠ΅ΡΠ²ΠΈΡΡ
Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ·ΡΠΊΠΎΠ² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ
Π₯ΠΈΡΡΡΠ΅ ΡΠ΅ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ C++
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