Search Results for "learning" - Page 2
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Showing 65 open source projects for "learning"
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log.c
A simple logging library implemented in C99
log.c is a compact logging library implemented in C99 for projects that need useful runtime diagnostics without pulling in a large dependency. It provides six familiar logging levels, from trace through fatal, and uses printf-style formatting so developers can add structured messages with minimal learning curve. By default, it writes readable log lines to stderr with timestamps, levels, source file names, and line numbers. It also supports quiet mode, configurable log levels, file outputs, custom callbacks, and optional thread locking for multi-threaded programs. Developers can enable ANSI color output at compile time to make terminal logs easier to scan. ... -
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EVEAI is a Deep Learning Library based on python Keras and Tensorflow. EVEAI dll allows embedding inference images from keras models into user-written applications. Under Windows, the EVEAI training Tool provides services to train user specific image datasets and EVEAI dll provides services to existing Windows applications which support inference images.
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9cc C compiler
A Small C Compiler
...The compiler implements essential stages such as lexical analysis, parsing, semantic analysis, and code generation, providing a complete pipeline from source code to executable output. It supports a subset of the C language sufficient to understand real-world compilation concepts, making it a valuable learning resource for developers interested in low-level programming. The project emphasizes readability and simplicity, with code structured to be easily understood rather than highly optimized. It also demonstrates key compiler design principles such as abstract syntax trees and symbol tables. -
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X11workbench
X11 developer's 'workbench' and lightweight toolkit API
(preliminary) X11 developer's 'workbench' application using a lightweight statically linked custom toolkit that is intended to be used by X11 applications built with the X11 Workbench. The primary goal of the toolkit is ease of use (short learning curve), lightweight self-contained executables, UI speed, cross platform compatibility, and minimal dependencies. The primary goal of the workbench is to provide an editor on X11 platforms that integrates development, provides rapid development tools (like 'wizards' and safe X11 debugging), and allows you to move the cursor past the end of a line without creating 'end of line' whitespace or 'bouncing' the cursor horizontally while scrolling vertically. ... -
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NimTorch
PyTorch - Python + Nim
NimTorch is a deep learning library for the Nim programming language, providing bindings to PyTorch for efficient tensor computations and neural network functionalities. -
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virgo
32 bit VIRGO Linux Kernel
Linux kernel fork-off with cloud and machine learning features -
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SynthePG
Live Music Compositor learning base on TPG
This android app is producing music and partition sheets in real time. Furthermore, the AI module can be activated and be trained to learn you prefered style and play it. You can also team play your music with the interconnect mode. Finally, move your phone like a 'chef d'orchestre' and see how it changes the music... -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only... -
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.
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data... -
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LightSpeedANN
Generator for optimized, vectorized neural net code
This Ruby program takes in a topology specification for an artificial neural network and emits optimized C code (using SSE intrinsics) that implements fast forward and backward propagation for that specific topology. -
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HYBRYD
Library written in C with Python API for IPv6 networking
This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as... -
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iwlib++
It is a libiw-dev -like library written in C++
I have gained some basic experience in C programming, and handling wireless interfaces in C with libiw-dev library, and i thought that I could improve my C++ programming skills if I try to implement some basic functionalities of the libiw-dev library in C++ language. I don't have any specific purposes with this project yet, I do it just for learning, and I consider it an amateur implementation. It was created as a MonoDevelop project. -
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NeuroSolutions: Formula Generator
Utility converts the weights file of a MLP Breadboard into a formula
The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network. -
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C/C++ Perceptron
A Perceptron library for C/C++
The library enables to create perceptrons with desired number of inputs and customized train rate. It enables to train the perceptrons according to the user input. Check the Wiki page for usage examples and API -
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kuzya
Simple crossplatform IDE for people who study programming
Kuzya is simple crossplatform IDE for people who study programming. Main idea of it is to concentrate attention of the users only on learning the programming language but not on usage of IDE. -
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja. -
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Compton
A compositor for X11
...It also supports configuration files, VSync options, transparent-window background blur, and window color inversion. Compton is best understood as an influential legacy X11 compositor and learning-oriented Xlib project that helped shape later lightweight compositor work. -
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cCNN
A fast implementation of LeCun's convolutional neural network
Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin. -
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XappServer
C++ Application Server
XappServer is an application server designed to make it easier for web application development in C++. If you are familiar with Java servlets, glassfish, and/or jboss, the learning curve in developing on XappServer should be shorter. -
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LBP in multiple platforms
LBP implementation in multiple computing platforms (ARM,GPU, DSP...)
The Local Binary Pattern (LBP) is a texture operator that is used in several different computer vision applications and implemented in a variety of platforms. When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several... -
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yafra
Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework
Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on! -
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MIPS Interactive Learning Environment
MILE - MIPS Interactive Learning Environment
MILE is a user-friendly MIPS simulator. It offers users a GUI in which they can develop and run programs written in MIPS assembly language. It is intended to be used as an instructional tool. MILE is still in early development. It lucks certain features and functionality. Please be patient until the beta version is released. -
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T3S Tool
Learning Stochastic Discrete Event Systems
...However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes. -
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Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
