Search Results for "binary neural networks"
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Showing 41 open source projects for "binary neural networks"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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YARA
The pattern matching swiss knife for malware researchers
YARA is a tool aimed at (but not limited to) helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families (or whatever you want to describe) based on textual or binary patterns. Each description, a.k.a rule, consists of a set of strings and a boolean expression which determines its logic. YARA is multi-platform, running on Windows, Linux and Mac OS X, and can be used through its command-line interface or from your own Python... -
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SOD
An Embedded Computer Vision & Machine Learning Library
.... SOD implements state-of-the-art computer vision algorithms found to be mandatory in real-world application areas. Sobel operator, Otsu's binarization and over 100 image/frame processing & analysis interfaces. Designed for computational efficiency and with a strong focus on real-time applications. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models. -
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Temporal Inference Engine
A real time inference engine for temporal logic specifications
A real time inference engine for temporal logic specifications, which is able to process and generate any binary or real signal through POSIX IPC, files or UNIX sockets. Specifications of signals are represented as special graphs and executed in real time, with a sampling time of few milliseconds. The accepted language provides timed logic and mathematical operators, conditional operators, interval operators, bounded quantifiers and parametrization of signals. -
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dibnn
Drop In the Bucket Neural Networks
One more lightweight neural network in C. -
Drive amazing product experiences with quality product data.
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NeuralCoref
Fast Coreference Resolution in spaCy with Neural Networks
NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolves coreference clusters using a neural network. NeuralCoref is production-ready, integrated in spaCy's NLP pipeline and extensible to new training datasets. For a brief introduction to coreference resolution and NeuralCoref, please refer to our blog post. NeuralCoref is written in Python/Cython and comes with a pre-trained statistical model for English only. NeuralCoref is accompanied by a visualization client... -
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NeuralSyns
NeuralSyns is a neural simulator for large spiking networks.
NeuralSyns is a neural simulator for large spiking networks. New neuron and synapse dynamics can be added, and complex network models can be easily built using the included tool NetBuilder. OpenGL is used to show the network's architecture and activity. -
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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... -
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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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pngnq-s9
A modified pngnq: convert png images to 256 colours.
pngnq-s9 is a modified version of pngnq, the neural network colour quantizer for png images. Like pngnq, pngnq-s9 takes a full 32 bit RGBA png image, selects a palette of up to 256 colours, and then redraws the image in 8 bit indexed mode. The resulting image can be up to 70% smaller than the original. pngnq-s9 adds several new options to pngnq including the ability to augment a user-supplied palette, the ability to quantize in the YUV colour space, and the ability to give more or less... -
For minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
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program.MODULAR
MODULAR: Autonomous Computation of Modularity
MODULAR is a software developed to perform rapid and automatic calculation of modularity in sets of networks. MODULAR reads a set of text files with bipartite or adjacency binary matrices representing networks. The software can identify and define modules by two different modularity metrics widely used in studies with different types of networks such as social, ecological and biochemical networks. In order to find the network partition that maximizes modularity, the software offers five... -
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Parallel Neural Networks
Neural networks in CUDA & OpenCL with back propagation algorithm
This project is my engineering diploma. It's aim is to compare the efficiency of both technologies and to check where which hacks works better. What is more one of my tasks is to compare different ways of decomposing computations in parallel. -
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Those who have read past the "Malware" warning can be assured there is absolutely no malware in this OS or in the download. This warning comes from the "netcat" binary included in the download as a DOS time client. Unfortunately netcat has code that is flagged as malware. FREESCO, a NAT/firewall router/server based on Linux and runs on a single 1.44MB floppy. Freesco is very powerful and versatile and can connect multiple home or small office networks to most types of Internet connections...
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating... -
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GENESIS (GEneral NEural SImulation System) is a software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes.
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XNBC: neurobiology simulation tool
XNBC is a graphic application to simulate biologic neural networks.
XNBC is a full featured application for computer naive neuroscientists. It simulates biological neural networks using graphic tools to edit neurons and networks, to run the simulation and to analyze results. Written in C, it runs on Unix and Windows. Web site : http://ticemed-sa.upmc.fr/xnbc/ All recent versions are on this site. -
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Lanbahn
Controlling Model Railroad via Networks
Controlling Model Railroad via Networks "Lanbahn" Concepts - intelligent end devices - all with a network, wlan or other sophisticated interface. - can be operated without a central station - no complex binary protocols - communications via multicast UDP messages - decoders can advertise their capabilities via zeroconf/avahi/bonjour protocol. - raspberry pi as one hardware platform - tinkerforge IO bricklets for turnout and signal control -
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bnns
Research tool for interactive training of artificial neural networks.
BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data. -
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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
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pgfann
Neural network library fann for serverside PostgreSQL context
this server side PostgreeSQL extension enables developer to create, store, train and apply artificial neural networks in the serverside context of PostgreSQL. It is based on fann, the Fast Artificial Neural Network Library by Steffen Nissen (Thanks!). -
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Syntactic is a simple C++ library for constructing general Neural networks. For now the library supports creation of multi layered networks for the Feedforward Backpropagation algorithm as well as Time Series Networks. More will be implemented soon.
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It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neural network with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.
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Programming language dedicated for neural network. It will provide an easy way to create node,connections,network layer, and complex neural-net architectures. It will make it easy for users to create,explore, analyze different neural networks.
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NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
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[NOTE: GO TO https://code.google.com/p/cruelhessian/ TO DOWNLOAD THE LATEST VERSIONS] Cruel Hessian is an opensource game engine for Soldat. The main purpose of this project is to implement bots AI based on neural networks. Cruel Hessian is programmed in SFML and OpenGL and should work in Linux, Windows and MacOS X.