Search Results for "deep" - Page 41
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Showing 1152 open source projects for "deep"
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tiny-dnn
header only, dependency-free deep learning framework in C++14
tiny-dnn is a C++14 implementation of deep learning. It is suitable for deep learning on limited computational resources, embedded systems, and IoT devices. -
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CoverageAnalyzer
RNA modification detection by RT signatures in deep sequencing data
Combination of reverse transcription (RT) and deep sequencing has emerged as a powerful instrument for detection of RNA modifications, a field that has seen a recent surge in activity because of its importance in gene regulation. Recent studies yielded high-resolution RT signatures relying on both, sequence dependent mismatch patterns and RT arrests. Common alignment viewers lack in specialized functionality, such as filtering, tailored visualization, differential analysis and export. ... -
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Mastering Shiny
Mastering Shiny: a book
...It starts from basics (your first app, UI components, reactivity) and progresses to more advanced topics (dynamic UIs, modules, testing, security, performance). It is intended to help data scientists, analysts, or R users who may not have deep experience in web technologies become expert Shiny developers. The source code is open, and the book is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. -
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deemon
Deemon Scripting Language
...With a fully packed standard library including support for file-io, threads, atomics, pipes, math, file-system, sockets, randomization, hashing, serialization, a wide selection of emulated c/c++ headers and more, deemon provides a suitable environment for any application. Syntax is easy to read and understand and is mostly based on the common languages such as c/c++, java and python, though for those fascinated by it, reaches very deep and allows for pleasingly beautiful code to be written. If you wish to learn deemon, download any package and take a look at 'lib/tut' Note: If you've already used v100, you'll be happy to see how much deemon has grown in the five months that have passed. Keep up to date with deemon at: https://github.com/GrieferAtWork/deemon -
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scFvMiner
Scripts for analysing NGS data
These scripts written in java can be used for deep sequencing analysis of the scFv antibodies from a synthetic antibody library and yields complete sequence information on the randomized areas of antibodies enriched from the library by phage display. The methods are descriped in Lövgen, J., Pursiheimo, J.P., Pyykkö, M., Salmi, J. & Lamminmäki, U. (2016) Next generation sequencing of all variable loops of synthetic single framework scFv – application in anti-HDL antibody selections. ... -
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Convolution arithmetic
A technical report on convolution arithmetic in deep learning
A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory. We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures. ... -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. -
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Deep Sense
Web-interface Application for DE pipelines in RNA-seq studies
...For software support and information on their distribution licenses, please proceed to: https://github.com/mingjiewong/Deep-Sense -
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Rendr
Render your Backbone.js apps on the client and the server
Rendr is a small library that allows you to run your Backbone.js apps seamlessly on both the client and the server. Allow your web server to serve fully-formed HTML pages to any deep link of your app, while preserving the snappy feel of a traditional Backbone.js client-side MVC app. We believe there has to be a better way to build rich web apps today. In the last few years, we've seen more of the application moved to the client-side, with JavaScript representations of views, templates, and models. This enables us to build interactive, native-style single-page apps, but splitting your app into two distinct codebases (often using different languages for client and server) also creates challenges for performance, maintainability, and SEO. ... -
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Netvlad
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets. -
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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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Opserver
Stack Exchange's Monitoring System
Opserver is a full-stack monitoring system originally developed by the Stack Exchange engineering team to provide deep operational visibility across large-scale production environments. It functions as a centralized dashboard capable of independently monitoring servers, databases, caches, and network components while aggregating them into a unified operational view. The platform supports a wide range of integrations including SQL Server, Redis, Elasticsearch, HAProxy, and external monitoring systems, making it highly extensible. ... -
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evoNet
Deep learning for population genetic inference
This software implements the algorithms described in the following paper: Sheehan, S. and Song, Y.S. Deep learning for population genetic inference. PLoS Computational Biology, in press. -
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lxnstack
A program to align and stack astronomical images.
Lxnstack is a program designed to align and stack astronomical images (both planetary and deep-sky). The features of latest version are: * Several stacking methods (average, median, sigma-clipping, ...) * Two automatic align method: align-points; phase correlation, * One manual align method. * sub-pixel precision (0.1 pixel for phase correlation and 0.01 pixel for manual alignment). * Automatic image derotation -
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DeepLearnToolbox
Matlab/Octave toolbox for deep learning
DeepLearnToolbox is a MATLAB / Octave toolbox for prototyping deep learning models. It provides implementations of feedforward neural networks, convolutional neural networks (CNNs), deep belief networks (DBNs), stacked autoencoders, convolutional autoencoders, and more. The toolbox includes example scripts for each method, enabling users to quickly experiment with architectures, training, and inference workflows. -
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iOS Tech Frontier
Tanslates high-quality iOS technology, open source libraries
iOS Tech Frontier is a curated, deep-dive repository of advanced technical knowledge around the iOS operating system and ecosystem, designed primarily for intermediate to advanced developers who want to understand beyond SDK basics and build highly performant, robust applications. Instead of simple how-to recipes, the project collects detailed explanations, system internals analyses, and real-world insights into core subsystems like memory management (ARC), threading and Grand Central Dispatch, Objective-C/Swift runtime behavior, UIKit rendering pipelines, and effective use of concurrency. ... -
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Sensomusic SDK
Create modules for Usine Software
As a powerful software to manipulate audio and midi data (and math, and time…), Usine is provided with a lot of modules to make dedicated tasks. But if you have special needs or a brilliant idea, this is the SDK to code your own user modules . -
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn in tensorflow, and much more. ... -
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ext4magic project has been in deep sleep for 10 years and is now changing to abandoned. During this time, around 30 releases of the dependent e2fsprogs and library have been released. These changes are not reflected in the current ext4magic code, so current file systems are no longer compatible with ext4magic. User feedback shows that ext4magic can no longer successfully process current ext4 file systems.
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MDA
Molecular Dynamics Analyzer (MDA)
MDA is a 3D single-particle tracking software that explicitly addresses fluorescence microscopy experiments deep in living specimens. It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced by the astigmatism. ... -
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Human AI Net
a Human and Artificial Intelligence Network
...The main data format is, from xorlisp which is also in progress, immutable binary forest nodes, so if millions of people build that together nobody can damage or change anyone else's data since its all constant. You dont change variables. You create new data that points at existing constant data, as deep as you need it. I have mindmap lists, definitions, and 2 editable properties working that way with 2 kinds of event listeners that work locally. Its not a networked system yet, but the datastructs are ready to scale with it. -
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An open source application that can freeze your Linux, it is like Deep Freeze in Microsoft Windows operating system. So, you can lock your system by using this application. Feel free and open with this application. (By: Muhammad Faruq Nuruddinsyah, 2008)
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Tool for automatic definition and quantification of haplotypes in a mixed sample. Supports ultra-deep sequencing with data from any next-generation sequencing strategy. Detailed manual is included in the zip package.
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DHOME
Open source home automation web interface to analyze your energy data.
DHOME is an open source web interface that controls your home automation box i.e. Zipabox and gathers data from it to have a complete analysis of your energy consumption. The applications provided by home automation companies do not provide deep analysis of data; they do not give you the opportunity to cross different data, merely to visualize a short presentation of your temperature, electricity consumption and other information. Our goal is to give the user full access to all of this, in a simple and intuitive way. Our project is currently only compatible with the Zipabox by Zipato. ...
