Search Results for "layer" - Page 5
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Showing 127 open source projects for "layer"
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Immutable Sparse Wave Trees (WaveTree)
Realtime bigdata tool for bit strings up to 2^63 based on AVL forest
Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. Example: instead of building a class to hold a header and then data, represent all of... -
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eANN
eANN is an implementation of several kind of neural networks.
eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code. It is possible to have several different sized networks running simultaneously, each functioning independently of the others or acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network. -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and... -
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C-IL2P
Original C-IL2P
This is a C++ implementation of the original C-IL2P system, invented by Artur D'Avila Garcez and Gerson Zaverucha. C-IL2P is a neural-symbolic learning system which uses a propositional logic program to create a three-layer recursive neural network and uses back-propagation to learn from examples. -
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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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NOTE: This project was moved to: https://github.com/eetorres The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.
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Aliza Gaming API
An extensible development framework for roleplay games.
AlizaGameAPI is a robust, open-source Java-based framework designed to streamline and enhance the development of 2D and 3D games. It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced... -
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Timeline based editor for creating Compact Disc Subcode Graphics (also known as CD+G or CDG). Both karaoke and multimedia styles of content are supported. Please visit cdgmagic.sf.net for examples playable directly in the HTML5 CD+G player. CD+Graphics Scribe utility (separate download -- click "Browse All Files" above) can now convert existing CDG karaoke content to CMP (CD+Graphics Magic Project), LRC (Enhanced Lyrics), and ASS (Advanced SubStation Alpha) format.
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Black Hole Cortex
Sphere surface layers of visual cortex approach maximum info density
...We can think of Wikipedia as a layer above our brains, a global SphereSurface of large surface area (a cortex layered on billions of minds) and small (10000 most important pages) density. -
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FreeFuzzyTime
It's a time reasoner that can be integrated in medical applications.
...This is especially important in areas like Intesive Care Units where patients' data are handled by a temporal data base. The FuzzyTime module is a structure which consists of three levels of abstraction. The upper layer is the user interface where a translator transforms the expressions introduced by the user into temporal relations between temporal entities (points and intervals). The semantic of user’s expressions is analized and stored in the intermediate layer or temporal world. Finally, the bottom layer is based on FTCN model. -
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This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
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PHP Business Rules is an open source application layer for PHP. The logic is defined in rules and facts. Like most Business Rule Engines (BRE) it uses the Rete algorithm.
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Bottwi is an artificial intelligent bot for the world awarded social network: Twitter.
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Weekend-robotics enables the dedicated amateur to build a autonomous robot. It runs on a Linux system for high-level operations and offers an interface to the defacto standard hardware abstraction layer in robotics, Player/Stage.
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Module linux kernel for upload chaosnet protocol into network layer. Server and client programm for share with lisp machine data space. Api interface for make program and service with chaosnet protocol.
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backprop1 provides a simple three layer backpropagation neural network implemented in java. There are three demo programs to perform point classification, the XOR problem and character recognition.
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A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
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The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.
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This library provides a network abstraction layer for heterogenous large scale modular systems. It supports clearly specified interface definitions for communication between modules, while maximizing module indendence and adaptability.
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Neural network library for C++ applications in Windows and Linux. Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported. You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
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SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.
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Savant
Python Computer Vision & Video Analytics Framework With Batteries Incl
...It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building smart CV and video analytics applications for cities, retail, manufacturing, and more. -
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automated-linguistic-analysis
Automated Linguistic Analysis, with both monolith and cluster versions
Sample application showcasing usage of technologies such as: * OSGi R7 Promises for asynchronous generation of transcriptions and linguistic analyses * OSGi R7 Push Stream and JAX RS Server Sent Events for push notifications of processing status * Apache Camel 2.23.1 and RabbitMQ 3.7 for asynchronous communication between services * JPA 2.1 and Hibernate 5.2.12, along with OSGi R7 JPA and Transaction Control services, for persistence layer * OSGi R7 HTTP and JAX RS Whiteboard for registering servlets, resources and REST controllers * OSGi R7 Configurator, Configuration Admin and Metatype services for automatic configuration of components * OSGi R7 Declarative Services for dependency injection * Maven automated build of Docker images * Maven automated deployment into Kubernetes cluster * RabbitMQ message broker as a StatefulSet * CockroachDB relational database as a StatefulSet See 'Code' tab for detailed information
