Search Results for "linux new distribution"
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Showing 27 open source projects for "linux new distribution"
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DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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Stellarium
GPL software which renders realistic skies in real time
...Ability to add new solar system objects from online resources. Add your own deep sky objects, landscapes, constellation images, scripts, etc. Supernovae and novae simulation. Exoplanet locations. 3D sceneries. Skinnable landscapes with spheric panorama projection. -
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms for... -
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Hacker Laws
Laws, theories, principles and patterns useful to developers
Laws, Theories, Principles and Patterns that developers will find useful. There are lots of laws which people discuss when talking about development. This repository is a reference and overview of some of the most common ones. Principles and laws to follow such as: If a program is made up of two parts, part A, which must be executed by a single processor, and part B, which can be parallelised, then we see that adding multiple processors to the system executing the program can only have a... -
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AI Researcher
An autonomous AI researcher
AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they... -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent... -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to... -
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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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Catalyst
Accelerated deep learning R&D
...Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. It's part of the PyTorch Ecosystem, as well as the Catalyst Ecosystem which includes Alchemy (experiments logging & visualization) and Reaction (convenient deep learning models serving). -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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hubs-research-acm-chi-2021
Supplemental code and dataset for the ACM CHI 2021 paper
Supplemental code and dataset for the ACM CHI 2021 paper on "Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop". In this research paper we instrumented Mozilla Hubs Cloud to record where participants where during the event. From there, we measured proxemic and plotted the activity along with some semi-structured interviews. Virtual environments (VEs) can create collaborative and social spaces, which are increasingly important in the face of remote work and travel... -
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CoronaTracker
Coronavirus tracker app for iOS & macOS with maps & charts
Live data shows the most recent data, and updates automatically. Distribution map with two levels of details. Countries, when the user zooms out. Fewer details and reduced clutter. Cities, when the user zooms in. More details. Charts, current state chart for all countries (and cities). Timeline chart for all countries (and cities). Top affected countries chart with info about every country. Daily new cases shows how fast the virus is spreading in a given country. -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging... -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast 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... -
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX... -
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ArgSemSAT
Solving argumentation problems in Dung's AFs
Deprecated hosting for this project. The new hosting is at https://github.com/federicocerutti/ArgSemSAT In particular, the source code for the publication: Federico Cerutti, Massimiliano Giacomin, Mauro Vallati, How we designed winning algorithms for abstract argumentation and which insight we attained, Artificial Intelligence, Volume 276, 2019, Pages 1-40, ISSN... -
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...Please see: https://github.com/GillesPy/gillespy/ StochKit currently supports Linux, Windows, and OS X.
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S-Match
S-Match is a semantic matching framework.
S-Match is a semantic matching framework. S-Match takes any two tree like structures (such as database schemas, classifications, lightweight ontologies) and returns a set of correspondences between those tree nodes which semantically correspond to one another. S-Match contains implementations of the semantic matching, minimal semantic matching and structure preserving semantic matching algorithms. S-Match applies as a solution in many fields, including: information integration,... -
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Esg2Net100
fast data movement over high-bandwidth networks
Esg2Net is a set of tools and libraries used to transfer large datasets over high-bandwidth networks. It introduces a new mechanism in which every operation involving in data movement can be profiled, tuned, and adjusted on the fly in order to eliminate end-host bottlenecks. It has mainly developed for the movement of ESG climate datasets for high-speed replication and data access over the network. Climate Data Mover is used for testing 100Gbps networks in Nov 2011 at Supercomputing Conference. -
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Scripture
Biblical Data-Research Tool
the real is finite; the irreal is infinite. The unreal is bigger than infinite. real is the physical; irreal is the possible. Unreal is the incoherent, useless, meaningless, insane.. all religions offend me, when someone tries to sell me their delusions. when someone say i can't have morals without religion. when someone doesn't hold others to their level just because of a iron age book. when they refuse to understand why faith is harmful. when they kill and hate for their imagenary gods.... -
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cvsba
OpenCV wrapper for sba library
cvsba is an OpenCV wrapper for the well-known Sparse Bundle Adjustment library (sba) by M. Lourakis. The main features are: - Based on sba-1.6, one of the most popular and robust bundle adjustment implementation, which is extensively used and tested by the community - sba installation is not needed since it is included in cvsba - New CMake structure which makes the library compilation, installation and linkage easier - Similar interface than Bundle Adjustment implementation on... -
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OrthoInspector is a new software system for orthology/paralogy analysis. Its purpose is to facilitate the installation and the maintenance of a database describing orthology/inparalogy relations and to provide tools to exploit these data.
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Pamvotis is a Wireless LAN Simulator for all the current physical layer extentions of the IEEE 802.11 (IEEE 802.11 a/b/g) standard and for the IEEE 802.11e Draft for Quality of Service in WLANs.
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DASS-GUI is a graphical user interface for pattern search in non-sequential data.
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BS Eagle Project is an open source black-oil simulator. The goal of this project is to provide a free access to the modern oil simulator to study new methods of simulation. The project has a modular architecture and open to modifications and extensions.
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New computer science theory. OO databases generated with TROM are as relational and normalised as you specify. Predefine queries to be executed at the click of a button, or enter ad-hoc SQL statements. TROM is the future of OO relational databases.
