Search Results for "idea"
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Showing 13 open source projects for "idea"
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1
DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
...Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters. -
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PixelAnnotationTool
Annotate quickly images
Software that allows you to manually and quickly annotate images in directories. The method is pseudo manual because it uses the algorithm watershed marked of OpenCV. The general idea is to manually provide the marker with brushes and then to launch the algorithm. If at first pass the segmentation needs to be corrected, the user can refine the markers by drawing new ones on the erroneous areas. -
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PsoPath
Particle Swarm Optimization algorithm for the shortest path problem
...Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of Particle Swarm Optimization is the emulation of the social behaviour of, e.g., a flock of birds, as a stochastic optimisation method. Specifically, a particle is an entity representing a solution in the search space. Several particles cooperate inside an algorithmic flow to occupy positions close to the best solution. Development takes place at https://github.com/zfoxer/PsoPath -
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5
AcoPath
Ant Colony Optimization algorithm for the shortest path problem.
...Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. Development takes place at https://github.com/zfoxer/AcoPath -
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Bolt ML
10x faster matrix and vector operations
Bolt is an open-source research project focused on accelerating machine learning and data mining workloads through efficient vector compression and approximate computation techniques. The core idea behind Bolt is to compress large collections of dense numeric vectors and perform mathematical operations directly on the compressed representations instead of decompressing them first. This approach significantly reduces both memory usage and computational overhead when working with high-dimensional data commonly used in machine learning systems. ... -
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DodgsonScoring
Several Implementations of the Voting Rule Proposed by C.L.Dodgson
This Project features 5 Algorithms which implement the Dodgson Rule. A menu class allows testing, benchmarking and (to some extend) debugging them. The project is intended to be expandable, in case someone has a good idea and wants to implement it. A base class is given, and a new rule can be added relatively easy just by implementing the function which calculates the Dodgson score, "getSCD". Multithreading is also supported in case the rule performance can be improved by it. But that is, at the moment, a bit more complicated. -
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FFIS or Fast Fuzzy Inference System is a portable and optimized implementation of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods. The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output.
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A simple experiment into machine learning using the psychological principles of operant conditioning, spontaneous recovery and extinction. The main idea is that the "pet" in question knows nothing and you must teach it what certain keystrokes mean.
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This project is built on the premise that neurons that are fired together, are wired together. The basic idea is an efficient network with no back-propagation, although there is feedback within layers.
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An omnifont OCR software for KDE. Due to the fact that each step of the OCR process can be visualized you can get a quick idea of how OCR works and where the problems lie. However the program may be of minor/no use for end users in its current state.
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This project aims to produce a structure for the design and implementation of an Artificial Intelligence system based on the idea of determinism. This is to be completed with the creation of an AI system, a testing interface, and example applications.
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13
Tool for investigations in MTS (Mechanical Trading Systems) field, based on core idea of Genetically modificated Recursive Arithmetic Neuron Nets.
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