Search Results for "deep" - Page 40
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Showing 1152 open source projects for "deep"
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Orkney
Orkney Testframework
...Test steps are used like bricks to create test cases while test groups collect test cases and other test groups to create a test suite. Test cases are written in a simple text language thus allowing composition of cases from test steps without deep programming knowledge. Reports are created in text and in XML format, the latter are converted to a human readable form when using a standard web browser. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
...The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high interest these days - there's a crucial need for rapid and optimized implementations of the algorithms and architectures. ... -
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fast-neural-style
Feedforward style transfer
...It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. By combining performance and quality, it enables creative applications in image processing and design. Overall, fast-neural-style showcases how deep learning can be used for real-time artistic transformations. -
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FastEasyMapping
A tool for fast serializing & deserializing of JSON
FastEasyMapping is a lightweight and high-performance framework designed for mapping JSON or other data formats into native Objective-C objects on iOS. It simplifies the process of converting raw data into models and is built with a focus on speed and efficiency, making it suitable for apps dealing with large datasets or frequent network responses. -
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Baystation12
Baystation's flavor of Space Station 13
Baystation12 is a distinct gameplay-focused SS13 codebase emphasizing deep role-playing, lore cohesion, and immersive narrative set aboard the SEV Torch, with a dedicated developer and player community. For our purposes, the difference between these two licenses is that the AGPL requires you to make your source code available if you are hosting a game that uses Baystation source code in any way. The GPL instead allows you to (usually) remain closed source. -
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GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
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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. -
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360-FAAR Firewall Analysis Audit Repair
360-FAAR Analyze FW1 Cisco Netscreen Policy Offline Using Config/Logs
360-FAAR (Firewall Analysis Audit and Repair) is an offline, command line, firewall policy manipulation tool to filter, compare to logs, merge, translate and output firewall commands for new policies, in Checkpoint dbedit, Cisco ASA or ScreenOS commands, and its one file! Read Policy and Logs for: Checkpoint FW1 (in odumper.csv / logexport format), Netscreen ScreenOS (in get config / syslog format), Cisco ASA (show run / syslog format), 360-FAAR compares firewall policies and uses... -
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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. Optimized specifically for Apple hardware, using advanced parallel processing techniques. -
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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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CEV Eris
Death is our destination
CEV-Eris is a cyberpunk-tinged SS13 variant on BYOND where players explore a dystopian vessel, complete with deep faction lore, RP mechanics, and immersive survival themes that lean into horror and mystery. Focused RP server known for long rounds and narrative depth. Unique visuals, items, and faction dynamics tailored for Eris lore. Distinct mechanics including faction systems and custom antagonists. Community-driven content integration and lore expansion. -
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bulbea
Deep Learning based Python Library for Stock Market Prediction
bulbea is an open-source Python library designed for financial analysis and stock market prediction using machine learning and deep learning techniques. The library provides tools for retrieving financial time series data, preprocessing market data, and training predictive models that estimate future price movements. bulbea integrates common machine learning frameworks such as TensorFlow and Keras to build neural network models capable of learning patterns in historical financial data. ... -
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High Speed Parallel Imaging (HSPI)
HSPI does parallel capture and sky surveys.
HSPI offers to the astronomer the possibility to capture pictures from the CCD camera in a fast and intuitive way, keeping under control all the instrumentation in posses. HSPI can control the CCD camera, the mount, the focuser, the filter wheel and the dome from a single interface, and not only this: these features can be added on as many observatories and instrumentations you want. HSPI is ASCOM and INDI compatible, so if you want to use particular setups like Linux computers connected... -
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HashingBaselineForImageRetrieval
Various hashing methods for image retrieval and serves as the baseline
This repository provides baseline implementations of deep supervised hashing methods for image retrieval tasks using PyTorch. It includes clean, minimal code for several hashing algorithms designed to map images into compact binary codes while preserving similarity in feature space, enabling fast and scalable retrieval from large image datasets. -
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H2O-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning
...The system operates as an in-memory computing platform that allows data scientists to train models quickly using distributed resources. It supports many machine learning algorithms including generalized linear models, gradient boosting machines, deep learning networks, and ensemble techniques. The platform provides interfaces for multiple programming languages such as Python, R, Java, and Scala, making it accessible to a wide range of developers and data scientists. H2O-3 integrates with big data technologies such as Hadoop and Apache Spark, enabling organizations to run machine learning workflows on large-scale data infrastructure. ... -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. -
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odtReportSQL
Defines a complete reports/documents system for WAMP applications
...Based on templates created using OpenOffice (.odt files): templates can be of any size (A4, A3...) and multipage. On templates:: - Simple substitution based on couples #field#/value - Blocks and nested blocks duplication (any deep) or deletion - Pictures substitution The HTML User Inteface is build by System and can be easy added at existing php applications. This system is DB driven, using 2 tables to define all templates To add a new document is only required to update DB. Sources in github https://github.com/msillano/odtReportSQL Install: download all files in www/my_app/ see install.txt file -
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Echo Mirage
Hook into application processes and monitor network interactions
Echo Mirage is a powerful network proxy tool designed for cybersecurity professionals focusing on penetration testing of thick client applications. It intercepts and modifies network traffic by injecting itself into target application processes, enabling deep inspection and manipulation of data exchanged between client and server. Unlike typical web proxies, Echo Mirage specializes in local application traffic, including encrypted sessions, providing unique visibility into thick client communications. It employs advanced techniques such as DLL injection and function hooking to capture network interactions effectively. ... -
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The increasing demand of next-generation sequencing (NGS) studies has remarked the necessity of integrated and reliable pipelines to analyse deep-sequencing experiments in an efficient way. We present RUbioSeq+, a stand-alone and multiplatform application for the integrated analysis of NGS data. More specifically, our software implements pipelines for the analysis of single nucleotide and copy-number variation, bisulfite-seq and ChIP-seq experiments using well-established tools to perform these common tasks. ...
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PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. -
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AmpliMethProfiler
CpG methylation analysis of amplicons from bisulfite sequencing
...Specifically, ampliMethProfiler provides an easy and user friendly way to extract and analyze the epiallelic composition of reads from targeted bisulfite sequencing experiments. ampliMethProfiler is written in python language and requires a local installation of BLAST and QIIME tools. It can be run on Linux and OS X platforms. HOW TO CITE US: "ampliMethProfiler: a pipeline for the analysis of CpG methylation profiles of targeted deep bisulfite sequenced amplicons". Scala G., et al. BMC Bioinformatics (2016) 17:484, DOI: 10.1186/s12859-016-1380-3 -
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AdventureText
A Text RPG
A Text Adventure Role-Playing Game for Singleplayer, playable in one sitting, with turn-based combat and equipment-based progression. Your party, a group of beginner adventurers, has gotten stranded deep inside a dungeon. With no hope of beating the boss themselves, they turn to you as the only free hand they can spare. Progress as an adventurer and defeat the boss so your party may escape! -
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IDM Trial Reset
Use IDM forever without cracking
...Built using AutoIt, the tool automates registry and system-level modifications required to remove or reset trial-related data. It provides a simple interface or executable that performs the reset process without requiring deep technical knowledge from the user. The project emphasizes ease of use and portability, enabling users to run the tool whenever the trial period expires. While it does not modify the core IDM software, it interacts with system configurations to extend usability, and the repository encourages users to purchase a license if possible. ... -
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React Fiber Architecture
A description of React's new core algorithm, React Fiber
The React Fiber Architecture project is a detailed technical document that explains the internal design and behavior of React Fiber, the core algorithm that powers modern React rendering. Rather than being a traditional code library, it serves as an educational deep dive into how React manages updates, scheduling, and reconciliation under the hood. The document explores how Fiber replaces the older stack-based reconciliation algorithm with a more flexible system that breaks rendering work into incremental units. This enables advanced features such as interruptible rendering, prioritization of updates, and smoother user interfaces during complex operations. ... -
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json4sapnw
Another JSON extension for SAP ABAP
...It comes in the customer exchange namespace /CEX/ and has to be installed as an SAP transport request. The addon supports object oriented JSON methods to process deep structured JSON data. Building JSON data from SAP data objects and parsing JSON data back to SAP data objects are supported. See the WIKI for some examples. Thanks to the SAP community and especially to Rüdiger Plantiko for the basic work (http://ruediger-plantiko.blogspot.de/2010/12/ein-json-parser-in-abap.html). Enjoy! ...
