beliavsky Goto Github PK
Type: User
Bio: I analyze financial data in Fortran, R, and Python, post at Fortran Discourse, and tweet @FortranTip.
Twitter: FortranTip
Location: United States
Type: User
Bio: I analyze financial data in Fortran, R, and Python, post at Fortran Discourse, and tweet @FortranTip.
Twitter: FortranTip
Location: United States
originally the comp.lang.fortran FAQ from January 1997 by Keith Bierman
Precompiled gfortran libraries (BLAS, LAPACK, etc.) for Windows using GNU Fortran
Global optimization Fortran 95 code of Alan Miller
Comparison of Julia and Fortran syntax
Alan Miller's conversion of part of Lapack to ELF90, using his to_f90.f90 program
An implementation of Locally Weighted Linear Regression from scratch. LWLR is a very inefficient learning method but does really good in regression problems after hyper-parameter tuning.
a cheat-sheet for mathematical notation in code form
Matrix inversion and the solution of a set of linear equations using Crout's method
Numerical analysis resources
Mirror of Polybench/Fortran, a collection of benchmarks containing static control parts
R Finance packages not listed in the Empirical Finance Task View
List of R packages with Fortran code
R Time series packages not included in CRAN Task View: Time Series Analysis
random normal variates in Fortran using the polar, Box-Muller, and ratio-of-uniforms methods
Fortran 90 library of John Burkardt for regression using least-squares and other criteria, based on Spaeth's codes
List of recent research articles using Fortran
Fortran simulation of spending rules in retirement
Links to speed comparisons of languages used in scientific omputing
GPU-accelerated Factors analysis library and Backtester
simulate some estimators of the standard deviation
Ideas and codes related to the Fortran Standard Library project stdlib
Machine learning models for time series analysis
Mirror of Timeslab Fortran 77 time series package by H. Joseph Newton
Different deep learning architectures are implemented for time series classification and prediction purposes.
generate uniform, normal, and exponential random deviates using algorithms from Marsaglia
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.