Search Results for "parallel-sudoku-solver" - Page 8
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Showing 312 open source projects for "parallel-sudoku-solver"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Volunteer workshift scheduler
Volunteer workshift scheduler for a helpline service
Code written in Python finds the best possible schedule for volunteers while incorporating constrains and special requirements using CP-SAT Solver (Constraint Programming - boolean SATisfiability problem Solver). Java version is in development. The problem Arranging volunteers for a helpline service for the period of one month. There are three types of work that could be done on the same day: Phone shift: Every day. Chat shift: Mondays and Wednesdays. ... -
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Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
...Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer the data processing flexibility needed in research. Tensorpack squeezes the most performance out of pure Python with various auto parallelization strategies. ... -
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ComplexEventExtraction
Expression pattern collection of Chinese compound event extraction
ComplexEventExtraction is a Chinese NLP project for identifying relationships between events expressed in compound sentences. It defines patterns for causal, conditional, sequential, contrastive, and parallel event structures. The system uses explicit connective words and phrase combinations to split text into linked event pairs. Extracted results can support event graphs that represent how situations develop, conflict, or depend on one another. The repository catalogs hundreds of linguistic patterns and demonstrates them on a large Chinese news corpus. ... -
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Evolution Strategies Starter
Code for the paper "Evolution Strategies.."
evolution-strategies-starter is an archived OpenAI research project that provides a distributed implementation of the algorithm described in the paper “Evolution Strategies as a Scalable Alternative to Reinforcement Learning” by Tim Salimans, Jonathan Ho, Xi Chen, and Ilya Sutskever. The repository demonstrates how to scale Evolution Strategies (ES) for reinforcement learning tasks using a master-worker architecture, where the master node broadcasts parameters to multiple workers, and the... -
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). ... -
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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
...The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as sentiment analysis. It supports multi-GPU and multi-node data-parallel training, and integrates with Horovod to scale out across large GPU clusters. Mixed-precision support (float16) is optimized for NVIDIA Volta and Turing GPUs, allowing significant speedups and memory savings without sacrificing model quality. The project comes with configuration-driven training scripts, documentation, and examples that demonstrate how to set up pipelines for tasks. -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes essential methods like fit, score, analyze and save/load. For more complex features, you should use the anaGo modules such as models, preprocessing and so on. -
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TensorFlow-ZH
Chinese version of the official document of TensorFlow
The tensorflow-zh repository is a Chinese translation of the official TensorFlow documentation, organized to make the core guides, tutorials, and reference material accessible to Chinese speakers. It was initiated shortly after TensorFlow’s open-sourcing, with translation and proofreading contributions from a community of volunteers who aimed to bridge the language barrier for learners in China and other Mandarin communities. The repo mirrors the structure of the original English docs:... -
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As of August 2018 Spheral++ has moved to Github -- please see the current repository at https://github.com/jmikeowen/spheral We are leaving a frozen version here on SourceForge for historical reasons. Spheral++ provides a steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations. Hydrodynamics and gravity are modelled using particle based methods (SPH and N-Body).
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Universe Starter Agent
A starter agent that can solve a number of universe environments
...Under the hood, this starter agent implements a version of the A3C (Asynchronous Advantage Actor-Critic) algorithm, adapted for the specific challenges of Universe environments (e.g., network latency, VNC streaming, asynchronous observations). The repo includes modules like train.py, worker.py, model.py, a3c.py, and envs.py to support training, parallel worker management, policy/critics, and environment wrappers. -
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Intel neon
Intel® Nervana™ reference deep learning framework
...The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores. -
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PyMathProg
An easy and flexible mathematical programming environment for Python.
PyMathProg is a Python reincarnation of AMPL and GNU MathProg modeling language, implemented in pure Python, connecting to GLPK via swiglpk. Create, optimize, report, change and re-optimize your model with Python, easily integrate database, plotting, etc. -
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IPS Framework
A simple Python framework for loosely-coupled multiphysics simulations
...In addition to plasma physics, it is also being used in the engineering of batteries. One of the novel features of the IPS framework is its ability to support parallelism at multiple levels: components can launch individual parallel tasks, and also launch multiple tasks concurrently. The framework can execute multiple components concurrently, and even multiple simulations, all within the same pool of compute nodes. -
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youtube-dlG
A cross platform front-end GUI of the popular youtube-dl
...You can change the naming pattern by picking a different filename format under the Options>General tab. You can also use a custom pattern by setting the option to "Custom" and editing the output template field. You can change the number of max parallel downloads by editing the "workers_number" option in your settings.json file. You can add extra youtube-dl command line options in the commands box under the Options>Extra tab. You can use your own version of youtube-dl by editing the "youtubedl_path" option in your settings.json file and make it point to your own binary (e.g. /usr/local/bin). -
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The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
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PyMGet
Utility for parallel downloading files from multiple mirrors
PyMGet can download same file from multiple HTTP, HTTPS or FTP mirrors in parallel. -
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Manage node sets, node groups and execute commands on cluster nodes in parallel. Provides an event-based Python library to improve administration of large compute clusters or server farms. Command line tools: clush and nodeset included.
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors. -
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P3BSseq
Parallel processing pipeline for analysis of bisulfite sequencing data
...Though some BSseq processing tools are available, they are scattered, require puzzling parameters and are running-time and memory-usage demanding. We have developed P3BSseq, a parallel processing pipeline for fast, accurate and automatic analysis of BSseq reads that trims, aligns, annotates, records the intermediate results, performs bisulfite conversion quality assessment, generates BED methylome and report files following the NIH standards. P3BSseq outperforms the known BSseq mappers regarding running time, computer hardware requirements. ... -
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GMES
GMES is a free Python package for FDTD electromagnetic simulations.
...Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST Maxwell’s Equations Solver. -
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startrails
open game world to be set in a realistic environment
Discover a huge fictional game world and supply resources for its exploration. Unleash mysterious secrets or just race through the hills. This software is under development and thus neither complete nor bug-free. However, fun can occasionally be had. -
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. -
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memP is a parallel heap profiling library based on the mpiP MPI profiling tool. The intent of memP is to identify the heap allocation that causes a task to reach its memory in use high water mark for each task in a parallel job.
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SAT-Assembler
Scalable and accurate targeted gene assembly for large-scale NGS data
...It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms. -
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Robot Framework FTP Library
FTP client for Robot Framework
SOURCE CODE MOVED TO https://github.com/kowalpy/Robot-Framework-FTP-Library . NEW RELEASES WILL APPEAR ONLY AT GITHUB AND PYPI. This Python library makes it possible to test or use FTP server using Robot Framework keywords. Together with the library, there are also available project example and keywords documentation created by libdoc. This sourceforge webpage is linked from http://robotframework.org/#test-libraries as external library so it can be considered as the official Robot...
