Search Results for "telegram source code"
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Showing 88 open source projects for "telegram source code"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
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Entity-To-Code
Mathematical Functions in an NPM library made with JS and C++
NPM URL: https://www.npmjs.com/package/entitytocode Source Forge: https://entity-to-code.sourceforge.io WIKI Git: https://github.com/BSW-G-D-iph6/Entity-To-Code/wiki -
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gptoolbox
Matlab toolbox for Geometry Processing
gptoolbox is a comprehensive MATLAB toolbox for geometry processing, optimization, and image processing. It provides a wide range of utility functions for working with triangle and tetrahedral meshes, making it useful for tasks in computer graphics, computational geometry, and 3D modeling. The toolbox includes wrappers for external software such as TetGen, Triangle, QSlim, and meshfix, as well as functions for mesh smoothing, cleanup, deformation, and parameterization. It also implements... -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code... -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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MathMod
MathMod is a mathematical modeling software
...MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous scripts 3) New scripts, Bug-fixes, code optimization and documentation update For a complete list of changes made during the course of development, please visit: https://github.com/users/parisolab/projects/2 -
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XMDS
Fast integrator of stochastic partial differential equations
XMDS is a code generator that integrates equations. You write them down in human readable form in a XML file, and it goes away and writes and compiles a C++ program that integrates those equations as fast as it can possibly be done in your architecture. -
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The continuous medial representation is a method for object representation and shape analysis. Hosted on Sourceforge are the source code for routines that fit medial models to anatomical objects.
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Surface Explorer 3D v3.2
Surface Explorer 3D plots mathematical surfaces in 3D.
...The STL format can be used to do 3D printing to create a physical object. Surface Explorer 3D is provided as freeware in the hopes that others can enjoy exploring math equations. Full MFC C++ source code is included as freeware. Version 3.2 Jan 28 2024 1) Increased the length of plotting equations from 255 characters to unlimited 2) Added several new example surfaces Version 3.1 - Nov 6, 2022 1) Bug fix for minus sign in equations 2) Added Range Variables used in equations 3) Added Color Scheme Dialog 4) Added many more example surfaces Youtube Video: https://www.youtube.com/watch?... -
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K3DSurf (now MathMod) is a program to visualize and manipulate Mathematical models in three, four, five and six dimensions. K3DSurf supports Parametric equations and Isosurfaces. ****** Welcome to the realm of complex numbers! Change-log for MathMod-11.1 (16/06/2021) 1) Support of graphing functions with complex numbers Z=u+iv in 3D and 4D spaces (demo scripts: "Complex3D_xx" and "Complex4D_Saddle") 2) Added support for HSV (hue, saturation, brightness) coloring model (script:...
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HOA SoftwareSimplify HOA management with software that handles everything from financials to communication.
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Uranie
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is... -
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Advanced Trigonometry Calculator
Precision Trigonometry: Advanced Calculator for Complex Math
Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. ATC Online Alpha: https://advantrigoncalc.sourceforge.io/atc/ More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by... -
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...Some major features are: A built-in expression generator, 32-bit colouring schemes for the fractals, multi-threaded and multi-server rendering! WOW! And lots, lots more... The source code has moved to GitLab: https://gitlab.com/jmmcg/alephone
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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OpenM++
OpenM++: open source microsimulation platform
IMPORTANT: ========== Our project home page: https://openmpp.org Our latest source code and release available at: https://github.com/openmpp/main/releases/latest Our documentation available at: https://github.com/openmpp/openmpp.github.io/wiki SourceForge files still exist for historical reason. OpenM++ is an open source microsimulation platform inspired by and compatible with Modgen. OpenM++, compared to its closed source predecessor Modgen, has advantages like portability, scalability and open source. ... -
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Drception
Fractals generator with powerful functionality.
Fractals generator with powerful functionality. E-mail: programmingspecial@gmail.com -
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NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.
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SODE
Program to solve differential equations using long Taylor series
Program to generate a program to numerically solve either a single ordinary differential equation or a system of them.It is a Ruby program, now called omnisode, which generates either Ruby, C, C++, Maple or Maxima code. Code can be generated for all languages under Linux. Ruby can be generated under Windows. All can be generated under cygwin, but would need work on execution of Maple. Omnisode itself is Ruby, which is needed in all cases to generate the program. -
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BioFVM
3-D diffusion solver for biological problems
BioFVM is an open source diffusive transport solver for biological problems. It can solve for the diffusion of tens or hundreds of substrates on large 3-D domains. For simplicity, the code has minimal external dependencies. BioFVM was first published in: A. Ghaffarizadeh, S.H. Friedman, and P. Macklin. BioFVM: an efficient, parallelized diffusive transport solver for 3-D biological simulations. -
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MathFu
C++ math library developed primarily for games focused on simplicity
MathFu is a small, header-only C++ math library optimized for games and real-time graphics on mobile and desktop. It provides fixed-size vector, matrix, and quaternion types with APIs that mirror the operations you actually use in inner loops—dot, cross, normalize, transforms, and projections. Implementations are carefully tuned to leverage SIMD instruction sets such as SSE and NEON while preserving a clean fallback path for portability. Because types are fixed at compile time, the compiler... -
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MSU's Sparse Fourier Repository
The Home of DMSFT, AAFFT, GFFT, and MSFFT.
A collection of sparse Fourier transform codes developed by faculty at MSU. Currently codes for four different prototype sparse FFTs are here: 1.) DMSFT, implemented by Ruochuan Zhang. This is a fast, stable, noise robust, and *fully discrete* improvement on the ideas in GFFT below. It is THE BEST sparse FFT around!!! If you're looking for AAFFT, try this out first. 2.) AAFFT, implemented by Mark Iwen in 2008. This code is easy to use, and documented well, but not implemented... -
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LAMA
Heterogeneous Software Development Accelerated
LAMA is a framework for developing hardware-independent, high performance code for heterogeneous computing systems. It facilitates the development of fast and scalable software that can be deployed on nearly every type of system with a single code base. By using LAMA for their application, software developers benefit from higher productivity and stay up to date with the latest hardware innovations, both leading to shorter time-to-market. The framework supports multiple target platforms... -
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CurvatureFilter
Curvature Filters are efficient solvers for Variational Models
These curvature filters were developed by Yuanhao Gong during his PhD studies. MC filter and TV filter are exactly the same as described in the paper. However, the GC filter is slightly modified. Please cite the following papers if you use a curvature filter in your work. Traditional solvers, such as gradient descent or Euler Lagrange Euqation, start at the total energy and use diffusion scheme to carry out the minimization. When the initial condition is the original image, the data fitting... -
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Laxor is a C++ template library for componentwise tensor algebra, which uses the "Einstein" index notation in expressions and produces efficient binary code.
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wxEcMath
Easy mathematics in wxWidgets
Tiny library written in C++/wxWidgets designed to manage mathematical objects : parser of expressions, plots, matrixes and complex numbers. Ansi and Unicode are supported. Documentation and rich samples are provided. Compiles with MSVC, BCC, GCC and Clang. Now on Git. -
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PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal...
