Search Results for "ai linux" - Page 3
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Showing 59 open source projects for "ai linux"
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nGraph
nGraph has moved to OpenVINO
Frameworks using nGraph Compiler stack to execute workloads have shown up to 45X performance boost when compared to native framework implementations. We've also seen performance boosts running workloads that are not included on the list of Validated workloads, thanks to nGraph's powerful subgraph pattern matching. Additionally, we have integrated nGraph with PlaidML to provide deep learning performance acceleration on Intel, nVidia, & AMD GPUs. nGraph Compiler aims to accelerate developing... -
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Machine Learning Yearning
Machine Learning Yearning
Artificial intelligence, machine learning and deep learning are transforming numerous industries. Professor Andrew Ng is currently writing a book on how to build machine learning projects. The point of this book is not to teach traditional machine learning algorithms, but to teach you how to make machine learning algorithms work. Some technical courses in AI will give you a tool, and this book will teach you how to use those tools. If you aspire to be a technical leader in AI and want to... -
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Requests for Research
A living collection of deep learning problems
Requests for Research is an OpenAI repository that collects and organizes open research ideas in artificial intelligence. It is structured as a curated list of project proposals, challenges, and exploratory directions suggested by OpenAI researchers for the broader community. Each request highlights a specific problem area, often with context, motivation, and possible approaches, serving as inspiration for independent researchers, students, and practitioners. The repository is intended to... -
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Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It... -
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. 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. -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and... -
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Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only... -
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ai trading
The aim is to build a prototype of agent able to trade by himself
The aim is to build a prototype of agent able to trade by himself selecting his own criterias and strategies based on its AI capability. Deep learning AI autonomous agent to build FX trading strategies -
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Neural Doodle
Turn your two-bit doodles into fine artworks with deep neural networks
Neural Doodle is an archived creative AI project that implements semantic style transfer with deep neural networks. It can transform simple annotated sketches into detailed images by borrowing visual characteristics from reference artwork or photographs. Semantic maps identify corresponding regions so style patches can be transferred to appropriate parts of a generated image. The software also performs conventional style transfer when semantic annotations are omitted. Additional modes... -
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