Search Results for "state-thread"
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Showing 46 open source projects for "state-thread"
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NutsDB
A simple, fast, embeddable, persistent key/value store written in Go
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs.... -
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PlatEMO
Evolutionary multi-objective optimization platform
Evolutionary multi-objective optimization platform. PlatEMO consists of a number of MATLAB functions without using any other libraries. Any machines able to run MATLAB can use PlatEMO regardless of the operating system. PlatEMO includes more than ninety existing popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model-based algorithm. Most of them are representative algorithms... -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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NOTE: The GROOVE codebase has moved to https://github.com/nl-utwente-groove
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PI-Based Image Encoder / Converter
Python code able to convert / compress image to PI (3.14, π) Indexes
...Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ... -
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PetoronHash2
PH2 Permutation-based cryptographic post-quantum hash library with duplex construction (C++20)
PetoronHash2 (PH2) is a standalone ARX-based sponge construction that combines: A 4096-bit internal permutation core A sponge/duplex architecture with explicit capacity separation An extendable-output function (XOF) Memory-hard (HARD) and burn (BURN) modes A structured tagged absorb scheme A parameterized architecture suitable for hashing, KDF, and stress-oriented derivation PH2 is designed as a wide-state cryptographic primitive with explicit domain separation and configurable output length. https://github.com/01alekseev/PetoronHash2 Petoron | Ivan Alekseev | MIT license -
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Temporal Inference Engine
A real time inference engine for temporal logical specifications
...Specifications of signals and dynamic systems are represented as special graphs and executed in real time, with a predictable sampling time of few milliseconds. Real time signal processing, dynamic system control, state machine modeling and logical property verification are some fields of application of this software. The accepted language provides timed logic and mathematical operators, conditional operators, interval operators, bounded quantifiers and parametrization of signals. -
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ringBufU
Ring-Buffer library in C, includes support of multithreading
A Ring-Buffer instance could be used with element types - char - long - long long - void* . Focus is on a hardened SW structure with buffer-instance-pointer check (not very fast but more secure). Some features are globally choosable on compile-time (e.g. switch multithread support off completely to have faster access). Note: User Interface is for Test and Tutor Code only. -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals, students, research groups and businesses. ... -
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TOTimer
Time-Out-Timer for single threaded environement
Serve timeouts by calling a service-function periodically and an independent time-source (toticker). If you need a timer and like to try this one, please write your experiences to me in brief! And may be suggestions, of course. 10ms tick time should be possible. May be less. DO NOT USE Version less 0.1.1 - it is definatly buggy! Easy to control timers via Handle, eg auto create&start a timer via totimer_setTimeout function. Optionally use Callback-Functions if timeout... -
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Detectron2
Next-generation platform for object detection and segmentation
...With a new, more modular design, Detectron2 is flexible and extensible, and able to provide fast training on single or multiple GPU servers. Detectron2 includes high-quality implementations of state-of-the-art object detection. -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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Coach
Enables easy experimentation with state of the art algorithms
...It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments to solve. Coach collects statistics from the training process and supports advanced visualization techniques for debugging the agent being trained. Coach supports many state-of-the-art reinforcement learning algorithms, which are separated into three main classes - value optimization, policy optimization, and imitation learning. Coach supports a large number of environments which can be solved using reinforcement learning. -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
...It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important by Hessel et al., n-step Bellman updates, prioritized experience replay, and distributional reinforcement learning. For completeness, we also provide an implementation of DQN (Mnih et al., 2015). ... -
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This is a recursive C++ source code of the Fast Fourier Transform algorithm allowing parallelization. Also a performance test and its results on my computer are provided. The Performance test suggest to use 4 threads for parallelization. With this one can beat the implementation in "Numerical Recipes in C++" for large signals with more than 2^16 / 2^17 / 2^18 samples depending on the hardware and software.
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glint
A tool for finite state machine analysis and synthesis.
glint is a tool facilitating you in development of state-oriented control entities which supposed to be used in very broad areas of programming (e.g. state-oriented network protocols). glint saves you from pondering how your finite state machine should be organized, how many states it should have and what they should mean. You just tell glint how you would like your control entity to operate and glint returns to you the synthesised magic black box which implements the desired logic. ... -
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Physhun is a Java framework for building and executing finite state machines in J2SE and J2EE environments. State models are defined as collections of Spring beans, and do not use proprietary modeling languages. The framework is simple and flexible.
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Distant Speech Recognition
Beamforming and Speech Recognition Toolkit
BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition. -
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Jafaran
Fast and more random implementations of java.util.Random.
Jafaran (Java Fast Random) provides fast, and for some more random, implementations of java.util.Random, with additional nextXXX() methods, and methods to retrieve and restore state. The names of implementations contain "Conc" (for concurrent) if they are thread-safe and non-blocking, or "Seq" (for sequential) if they are not thread-safe. Also provides an implementation of Ziggurat algorithm (based on J. A. Doornik paper, 2005), used by nextGaussian() methods of the provided implementations. Requires Java 5 or later. ... -
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cachelet
Cachelet - the simplest java framework for general purpose caching
Cachelet is a java framework for general purpose caching very simple and easy to use. And it has everything you need for caching without complications. -
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SteppedStateMachine
Creates and operates a stepped state machine
Implements a stepped state machine, i.e. a state machine which executes a single state transition at a time. Because of this, no data, e.g. state data, can be stored between executions. Instead, any such data must be stored in persistent storage between executions. This permits operation of the state machine as a CGI program in a web server. A WSGI or fastCGI or other such web server is not required. -
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C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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RSSA
Rejection-based stochastic simulation algorithm (RSSA)
Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates. -
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This library implements a thread-safe skip list data structure - a kind of list with good insertion, deletion and searching performances. It uses Fred Fish's dbug library as internal tracing/debugging system. See the web site for more details.
