Search Results for "c algorithms"
Sort By:
Showing 11 open source projects for "c algorithms"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
1
Largest Generic Hash and HMAC Program
57 Hash Functions In One Program, plus each with HMAC or KMAC
FEHASHMAC is the largest collection of publicly known hash algorithms integrated into a command-line utility. FEHASHMAC contains a set of known test vectors and results for each algorithm such that the correct implementation for each hardware platform and compiler version can directly be verified. Currently 57 hash algorithms like sha1 sha224 sha256 sha384 sha512 and variants, sha3 and shake, all SHA3 finalists and blake3, md2 md4 md5 md6, rmd128 rmd160 rmd256 rmd320, whirl gost lash160... -
2
Habfuzz
A command-line tool for data-driven fuzzy modelling
Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat... -
3
m6811dis
M6811 Code-Seeking Disassembler
...It will disassemble the code and follow through branches to assist in the separation of code and data. Its companion Fuzzy Function Analyzer uses DNA Sequence Alignment Algorithms to locate similar code in multiple binaries, facilitating reverse-engineering. Originally written to analyze code from GM automotive engine controllers, but is useful anywhere a 6811 micro is being used. Version 1.0 was written in Borland Pascal in April 1996, and updated to v1.2 in June 1999. It was later rewritten to C++ in July 1999 through Jan 2000. ... -
4
Neural Networks Collection
Neural Networks Collection
This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
progrep
Utility to show live progress, status & stats for running simulations
...When the progrep command is invoked, it queries this server as a client. progrep does not interfere with or slow down your simulation when not invoked. Even when invoked, the overhead is insignificant. Out of the box, the API works with Fortran/C/C++ code. See Wiki/README for details. -
6
cocolib / light field suite
CUDA library for continuous optimization and light field analysis
Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: ... -
7
v1pad
One-time-pad encryption using a virtual pad
v1pad is a command-line tool that encrypts and decrypts files using one-time-pad encryption. v1pad uses a virtual pad, meaning that the one-time pad is generated dynamically based on user input instead of being stored in a file. The name v1pad is an abbreviation for Virtual One-Time Pad. -
8
FractalNow
Fast, advanced, multi-platform fractal generator
FractalNow provides users with tools to generate pictures of various types of fractals quickly and easily. It is made of both a command line tool, FractalNow, and a graphical tool, QFractalNow. The graphical tool, based on Qt library, allows users to explore fractals intuitively and generate pictures. Both tools are entirely multi-threaded and implement advanced algorithms and heuristics that make computation very fast compared to most existing free fractal generators. -
9
Dantzig-Wolfe Solver
An implementation of Dantzig-Wolfe decomposition built upon GLPK
An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link). -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
-
10
A simple demonstrative command line tool which can do both file encryption and decryption . It is based on OpenSSL and can support AES / DES / 3DES / BLOWFISH / RC4 cipher algorithms with ECB / CBC / CFB / OFB chaining modes (ECB only for RC4).
-
11
SymDiff is a little command line tool for symbolic differentiation and expression evaluation. Furthermore, the code can be used for the symbolical implementation of certain mathematical algorithms that require derivatives.
- Previous
- You're on page 1
- Next