Search Results for "hardware" - Page 11
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Showing 310 open source projects for "hardware"
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FastoCloud PRO
IPTV/NVR/CCTV/Video cloud https://fastocloud.com
IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: -
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Weld
High-performance runtime for data analytics applications
...Weld is particularly useful for workloads involving large-scale data processing in frameworks such as NumPy, Spark, and TensorFlow. The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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BytePS
A high performance and generic framework for distributed DNN training
...We use Tesla V100 32GB GPUs and set batch size equal to 64 per GPU. Each machine has 8 V100 GPUs (32GB memory) with NVLink-enabled. Machines are inter-connected with 100 Gbps RDMA network. This is the same hardware setup you can get on AWS. -
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iqr is a simulation software to graphically design and control large-scale neuronal models. Simulations in iqr can control real-world devices in real-time. iqr can be extended by new neuron, and synapse types, and custom interfaces to hardware.
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nGraph
nGraph has moved to OpenVINO
...Additionally, we have integrated nGraph with PlaidML to provide deep learning performance acceleration on Intel, nVidia, & AMD GPUs. nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets. We strongly believe in providing freedom, performance, and ease of use to AI developers. Our documentation has extensive information about how to use nGraph Compiler stack to create an nGraph computational graph, integrate custom frameworks, and to interact with supported backends. -
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OpenFace
A state-of-the-art facial behavior analysis toolkit
...OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. OpenFace is available for Windows, Ubuntu and macOS installations. It is capable of real-time performance and does not need to run on any specialist hardware, a simple webcam will suffice. -
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Robotinics
robotic project
O Robotinics é um projeto para construção de um robô autonomo. São características do Robotinics: - Integração de Arduino e Raspberry para gerenciamento das suas funcionalidades - Projeto totalmente open source e open hardware - Baixo custo . O Robotinics esta sendo utilizado como base para projeto mecânico no curso da ETEC Ribeirão Preto - Brasil e toda a concepção e modelagem de suas partes mecânicas serão apresentadas como trabalho acadêmico para este fim. The Robotinics is a project to build an autonomous robot. Are characteristic of Robotinics: - Integration of Arduino and Raspberry Management of its features - Project completely open source and open hardware - Low cost of production The Robotinics is being used as the basis for mechanical design in the course of ETEC Ribeirao Preto - Brazil and across the design and modeling of its mechanical parts are presented as academic work for this purpose. -
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EECluster
Tool for energy-efficient resource management in HPC clusters
...In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power consumption with all indirect costs, including hardware failures and subsequent replacements, measured in both monetary units and carbon emissions. This software has been developed by Quantum and High Performance Computing group (QHPC). See https://qhpc.uniovi.es/ -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. ... -
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NNVM
Open deep learning compiler stack for cpu, gpu
The vision of the Apache NNVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models into minimum deployable modules. Infrastructure to automatically generates and optimize models on more backend with better performance. Compilation and minimal runtimes commonly unlock ML workloads on existing hardware. Automatically generate and optimize tensor operators on more backends. ... -
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Swift AI
The Swift machine learning library
...Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the usage of Swift AI. Each resides in their own repository and can be built with little or no configuration. Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. ... -
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StarkOX
Open Source Robot Operating System
StarkOX, the first universal Open Source AI Robot Operating System. It provides easy to use hardware abstraction and commonly-used functionality. Furthermore, strong cognitive functions, voice and pattern detection together with a new powerful scripting language provide possibilities to create and share abstract behavior patterns. -
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Low-power approximate adders provide basic building blocks for approximate computing hardware that have shown remarkable energy efficiency for error-resilient applications (like image/video processing, computer vision, etc.), especially for battery-driven portable systems. In this paper, we present a novel scalable, fast yet accurate analytical method to evaluate the output error probability of multi-bit low power adders for a predetermined probability of input bits.
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...Commits have been disabled for the subversion sourceforge repository and new development is being done on the github repository. Java tools for Address-Event Representation (AER) neuromorphic processing. Uses USB hardware. See wiki at https://sourceforge.net/p/jaer/wiki/
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JCLTP
A Java Class Library for Text Processing
JCLTP is a class library designed for processing text. JCLTP is free, open source and developed with the Java programming language. JCLTP is distributed under the GNU license. It incorporates several technologies that enable process information while applying AI techniques, in order to build predictive models for text classification. Through a flexible structure of interfaces and classes, the opportunity to extend, adapt and add functionality JCLTP is provided. Thus, analysis of new types... -
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iCub is an open platform for scientists interested in investigating issues in embodied cognition. Here you find all the software and hardware documentation.
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JCLALtext
Text processing module for JCLAL
JCLALtext is a class library designed to extend the framework JCLAL text tasks. JCLALtext is free, open source and developed with the Java programming language. JCLALtext is distributed under the GNU license. The researcher can use the class library by adding it to your project. -
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RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.
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Hydroponic Automation Platform (HAPI)
Technologies for automating food production on various scales
The Hydroponic Automation Platform Initiative (HAPI) develops and provides hardware and software components for automating food production using hydroponic, aquaponics, and precision agriculture techniques. High-yield production in urban settings is one of the primary goals. Artifacts include hardware design (mainly Arduino-based), firmware, management software and reporting modules. -
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Urban Challege
Hardware and software for self-driving vehicles
The DARPA Urban Challenge race for robot vehicles took place on Nov 3, 2007. We pose a new urban challenge: build a safe, convenient, energy efficient people mover. This site provides the hardware and software for a prototype system. -
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...MTL consists of pars B - Basic Functions, Matrices, Images, Hypermodels (3d Models and up) N - Numeric Functions ranging from linear regression over nonlinear optimization to singular-value computation I - Image filters and Image enhancement H - Hardware related (optional part), does require additional libraries and is only useful on certain hosts. G - Hyper-Model functions such as ray-plane intersections etc.
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Project migrated: https://github.com/arktools This library aims at providing a uniform method for simulation, prototyping, and testing of autonomous robots. It also adheres to the object-oriented paradigm to ease system configuration and development. http://www.youtube.com/watch?v=-wQVrM5SL2o&fe
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Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.
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Weekend-robotics enables the dedicated amateur to build a autonomous robot. It runs on a Linux system for high-level operations and offers an interface to the defacto standard hardware abstraction layer in robotics, Player/Stage.
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Module linux kernel for upload chaosnet protocol into network layer. Server and client programm for share with lisp machine data space. Api interface for make program and service with chaosnet protocol.
