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jogl

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  Analyzed about 4 hours ago

The JOGL project hosts the development version of the Java™ Binding for the OpenGL® API, and is designed to provide hardware-supported 3D graphics to applications written in Java. JOGL provides full access to the APIs in the OpenGL 1.3 - 3.0, 3.1 - 3.3, ≥ 4.0, ES 1.x and ES 2.x specification as ... [More] well as nearly all vendor extensions. OpenGL Evolution & JOGL (UML) gives you a brief overview of OpenGL, it's profiles and how we map them to JOGL. JOGL integrates with the AWT and Swing widget sets, as well with custom windowing toolkits using the NativeWindow API. JOGL also provides it's own native windowing toolkit, NEWT. [Less]

758K lines of code

3 current contributors

13 days since last commit

22 users on Open Hub

Moderate Activity
5.0
 
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GROMACS

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  Analyzed about 2 hours ago

GROMACS is a versatile package to perform molecular dynamics, i.e. simulate the Newtonian equations of motion for systems with hundreds to millions of particles. It is primarily designed for biochemical molecules like proteins, lipids and nucleic acids that have a lot of complicated bonded ... [More] interactions, but but thanks to its speed, many groups also use it for research on non-biological systems, e.g. polymers. Speed is one of the key features that makes GROMACS particularly attractive. Thanks to the strong emphasis on bottom-up performance tuning: hand-tuned CPU SIMD kernels are available for most CPU architectures, CUDA-and OpenCL-based GPU acceleration together with efficient multi-threading and neutral-territory domain-decomposition with MPI SPMD parallelization is supported. [Less]

825K lines of code

32 current contributors

1 day since last commit

19 users on Open Hub

High Activity
5.0
 
I Use This

OpenGL-Shader

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  Analyzed 1 day ago

Perl module that abstracts OpenGL APIs for use with ARB (assembly), Cg and GLSL shading languages.

0 lines of code

0 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: Artistic_..., gpl

deeplearning4j

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  Analyzed about 5 hours ago

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers. Vast ... [More] support of scale out: Hadoop, Spark and Akka + AWS et al It includes both a distributed, multi-threaded deep-learning framework and a normal single-threaded deep-learning framework. Iterative reduce net training. First framework adapted for a micro-service architecture. A versatile n-dimensional array class. GPU integration [Less]

828K lines of code

69 current contributors

2 days since last commit

5 users on Open Hub

Very High Activity
0.0
 
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pycuda

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  Analyzed about 4 hours ago

PyCuda is licensed to you under the MIT/X Consortium license: Copyright (c) 2008 Andreas Klöckner Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction ... [More] , including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHAN [Less]

17.2K lines of code

9 current contributors

8 days since last commit

5 users on Open Hub

Low Activity
5.0
 
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Keras

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  Analyzed about 4 hours ago

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Keras is a minimalist, highly modular neural networks library, written in Python and capable of running either on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. ... [More] Use Keras if you need a deep learning library that: - allows for easy and fast prototyping (through total modularity, minimalism, and extensibility). - supports both convolutional networks and recurrent networks, as well as combinations of the two. - supports arbitrary connectivity schemes (including multi-input and multi-output training). - runs seamlessly on CPU and GPU. [Less]

46.1K lines of code

168 current contributors

1 day since last commit

5 users on Open Hub

High Activity
0.0
 
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OpenGL-Image

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  Analyzed 3 days ago

Perl module that provides tight integration between OpenGL and various imaging libraries. In the case of ImageMagick, C pointers may be shared between GPU and IM's image cache for optimized performance.

0 lines of code

0 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: Artistic_..., gpl

Equalizer - Parallel Rendering

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  Analyzed about 3 hours ago

Equalizer is an open source programming interface and resource management system for scalable OpenGL applications. An Equalizer application can run unmodified on any visualization system, from a singlepipe workstation to large scale graphics clusters and multi-GPU workstations. Equalizer is built ... [More] upon a parallel OpenGL-based programming interface solving problems that are common to any multipipe application. The API is minimally invasive, making application porting as easy as possible while delivering maximum performance. [Less]

367K lines of code

2 current contributors

4 months since last commit

4 users on Open Hub

Very Low Activity
5.0
 
I Use This
Licenses: BSD-3-Clause, lgpl

Brahma

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  Analyzed 6 months ago

Brahma is a library written for the .NET platform, to provide high-level access to graphical and general purpose processing on the GPU. It eliminates the need for a shading language, generating shader code directly from IL at runtime.

0 lines of code

0 current contributors

0 since last commit

3 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: eclipse

Quantum ESPRESSO

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  Analyzed 1 day ago

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Quantum ESPRESSO stands for opEn Source Package for Research in ... [More] Electronic Structure, Simulation, and Optimization. Quantum ESPRESSO is evolving towards a distribution of independent and inter-operable codes in the spirit of an open-source project. Researchers active in the field of electronic-structure calculations are encouraged to participate in the project by contributing their own codes or by implementing their own ideas into existing codes. [Less]

447K lines of code

0 current contributors

over 3 years since last commit

3 users on Open Hub

Inactive
0.0
 
I Use This