Search Results for "gnu science" - Page 7
Sort By:
Showing 185 open source projects for "gnu science"
View related business solutions-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
1
simplus is c++ library for constructing event driven simulations with a virtual time. Use it e.g. for telecomm., engineering, traffic simulations or simulation based games. It is lean, fast and portable and easily scales to millions of simulated objects.
-
2
Weeno is an software-only extension of Wiring / Arduino for potentially all and any Atmel AVR MCUs. And potentially all chip architectures from all companies, whether Freescale, SiLabs, TI, even ARM. Basically, the goal is to make AVR-Weeno, ARM-Weeno, 8
-
3
Neural - is neural network engine with object-oriented design. Features: - Supports: backpropogation, RPROP algorithms. - Flexible input/outputs framework. - Distributed calculations.
-
4
OCR c++ library of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
Add-ons to the ECMWF GRIB API. This project is about developing and maintaining add-ons to the GRIB API, like language bindings or documentation. The main GRIB API page is at http://www.ecmwf.int/products/data/software/grib_api.html
-
6
The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.
-
7
nVidia CUDA and MPI python wrappers. These wrappers are written in pure C no swig or boost necessary. The CUDA wrapper exposes the CUDA runtime and Driver API's.
-
8
In most cases,Developer required implementation library repeatedly for some modual.this project collection algorithm and implementation.Provide the necessary documentation.
-
9
Clothes - sewing CAD for creation of models of clothes. Based on the new concept of the automated designing of clothes with use of parametrical model. Creates a base design of model of clothes and allows to change it depending on necessity of updating.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
jWlanScan is a free (LGPL) wireless network(WiFi) scan library for the Java platform. It uses JNI technology, supports WinXP,Win2003, can get access point information of AP NAME,RSSI,BSSID,SPEED,CHANNEL and more.Use this lib,developed a WlanScan tool.
-
11
NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
-
12
PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of Neural Network based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose.
-
13
JAFF: Just Another Financial Framework. Technical Analysis (studying the price and trading history) of some stock quotes from internet. Neural Network analysis for non-linear prediction and forecasting.
-
14
This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
-
15
This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
-
16
The aim of GUINNEA (Graphical User Interfaced Neural Network Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those
-
17
NxNet is an implementation of a BPN neural network written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.
-
18
NNFpp (Neural Network Framework plus plus) is a C++ porting of the NNF library. The library is a complete and portable C++ class with specified functions for using neural networks.
-
19
NeuralJ is a free, open-source neural network library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neural network platform available.
-
20
NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial Neural Network, trained by Temporal Difference Learning using some Genetic Algorithm style behaviour.
-
21
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
-
22
Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.
-
23
Do you want a neural network OO class? With documentation? Do not go further... You found it! you have here a complete library of different neural network in an OO encapsulation. Starting from adaline, back propagation, Kohonen
-
24
TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
-
25
Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
