Search Results for "machine" - Page 99
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Showing 4715 open source projects for "machine"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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GMR Digital Signature System
GMR digital signature system
...https://www.bsi.bund.de/DE/Presse/Pressemitteilungen/Presse2018/Spectre-NG_18052018.html System that creates key pairs and digital signatures and is based on the presumed difficulty of prime factorization. Please install on a virtual machine with Linux! Windows is not supported! German: System, das Schlüsselpaare und digitale Signaturen erstellt, und auf der vermuteten Schwierigkeit der Primfaktorzerlegung fußt. Bitte in einer virtuellen Maschine mit Linux installieren! Windows wird nicht unterstützt! Spende einen Cappuccino: Bitcoin: 1HqrdnfQgi9B4LW8UEvLAwh7X5gXPCoQ5B Litecoin: LeCx44jGjHxiVZ8f6MyumLTCxPcp3ePKJT Paypal: paypal.me/GerritLeder -
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TensorFlow Internals
Open source ebook about TensorFlow kernel and implementation
It is open source ebook about TensorFlow kernel and implementation mechanism, including programming model, computation graph, and distributed training for machine learning. -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
...It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. Currently, it targets (1) multicore X86 CPUs, (2) Nvidia GPUs, (3) Xilinx FPGAs (Vivado HLS) and (4) distributed machines (using MPI). It is designed to enable easy integration of code generators for new architectures. -
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libaco
A blazing fast and lightweight C asymmetric coroutine library
...It has no more than 700 LOC but has the full functionality which you may want from a coroutine library. The benchmark part shows that a context switch between coroutines only takes about 10 ns (in the case of the standalone stack) on the AWS c5d.large machine. User could choose to create a new coroutine with a standalone stack or with a shared stack (could be shared with others). It is extremely memory-efficient, 10,000,000 coroutines simultaneously to run cost only 2.8 GB physical memory (run with tcmalloc, each coroutine has a 120B copy-stack size configuration). The phrase "fastest" in above means the fastest context switching implementation which complies to the Sys V ABI of Intel386 or AMD64. -
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lbpcascade_animeface
A Face detector for anime/manga using OpenCV
...Built using OpenCV’s cascade classifier framework, the project adapts traditional face detection techniques to stylized anime and manga artwork, where conventional human face detectors often fail. It is commonly used in anime image analysis, automated cropping tools, avatar systems, illustration indexing, and preprocessing pipelines for machine learning datasets. The classifier operates efficiently with relatively low computational requirements, making it practical for real-time or lightweight applications. Developers can integrate the detector directly into OpenCV workflows for desktop, research, or experimental projects involving stylized character recognition. The project became widely adopted in anime-related computer vision experiments because of its simplicity and specialized detection capabilities. -
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sourcerer.io
Sourcerer app makes a visual profile from your GitHub and git repos
...Some of the things on our roadmap include engineers to follow and learn from, technology and libraries you should know about, and projects that could use your help. The app looks at repos locally on your machine, and then sends stats to sourcerer.io. The best way to verify is to look at the code. Protobuf messages declared in src/main/proto/sourcerer.proto is a good start as it describes the client-server protocol. The Sourcerer app does not upload source code anywhere, and it never will. Visual presentation your development experience. ... -
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SiFraS
Simple PHP Framework for Students
...But, if you agree with the open source license, you can use for your work with no problem. Consider keeping the credits to me! This application has only been tested locally, in my own machine. Tested with Xampp in Windows. Read the "README.txt file" to install and others. CONTACT ======= Leandro Israel Pinto www.leandroip.com -
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Mozart-Oz Programming System
Runtime and development environment of Oz
The Mozart Programming System is an open source implementation of the programming language Oz 3. Oz is a multi-paradigm language that supports declarative programming, object-oriented programming, constraint programming, concurrency and distributed programming as part of a coherent whole. -
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Gin Config
Gin provides a lightweight configuration framework for Python
Gin Config is a lightweight and flexible configuration framework for Python built around dependency injection. It enables developers to manage complex parameter hierarchies—particularly common in machine learning experiments—without relying on boilerplate configuration classes or protos. By decorating functions and classes with @gin.configurable, Gin allows their parameters to be overridden using simple configuration files (.gin) or command-line bindings. Users can define default parameter values, scoped configurations, and modular references to functions, classes, or instances, resulting in highly composable and dynamic experiment setups. ... -
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Neopepsee
Accurate genome-level prediction of neoantigens by harnessing sequence
we developed Neopepsee, a method that applies a machine learning to classify personal immunogenicity with next generation sequencing data. -
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Distance Scaling
A Distance Scaling Method to Improve Density-Based Clustering
These functions implement a distance scaling method, proposed by Ye Zhu, Kai Ming Ting, and Maia Angelova, "A Distance Scaling Method to Improve Density-Based Clustering", in PAKDD2018 proceedings: https://doi.org/10.1007/978-3-319-93040-4_31. -
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Awesome Math
This is the Curriculum for "How to Learn Mathematics Fast"
This repository is a curated roadmap for learning the core mathematics used in computer science, machine learning, and data science without getting lost in unnecessary detours. It organizes topics like algebra, calculus, linear algebra, probability, and statistics into a pragmatic sequence that favors intuition and problem-solving over purely formal proofs. The materials emphasize short, high-leverage resources—video lectures, concise notes, and hands-on exercises—that help you build momentum quickly. ... -
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CFNet
Training a Correlation Filter end-to-end allows lightweight networks
CFNet is the official implementation of End-to-end representation learning for Correlation Filter based tracking (CVPR 2017) by Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, and Philip H. S. Torr. The framework combines correlation filters with deep convolutional neural networks to create an efficient and accurate visual object tracker. Unlike traditional correlation filter trackers that rely on hand-crafted features, CFNet learns feature representations directly from... -
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A project for a highly scalable protocol and framework and a collection of software tools for m2m (machine to machine communication) and IoT Internet of Things. The programs here works on Windows and Linux and are based around VSCP, The Very Simple Control Protocol. Repository is here: https://github.com/grodansparadis/vscp_software and here https://github.com/grodansparadis/vscp_firmware
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jMIPS
MIPS processor in Java
A MIPS processor modeled in Java for educational purposes and aimed at undergraduate Computer Architecture courses. It presently runs MIPS 32-bit R3000 ELF executables on any platform where Java itself will run. Five successively more sophisticated models of a pipelined MIPS RISC processor are included. Though the code is deliberately kept clear and simple in order that readers are able to figure out how a real processor works through the medium of the code, it will soon be able to run a... -
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awless
A mighty CLI for AWS
...Exploration of your cloud infrastructure and resources interrelations, even offline using the local graph storage. Clearer and flexible terminal output's with: numerous formats (machine/human-friendly), enriched resources' properties/relations when feasible. -
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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
...Our platform Easy Machine Learning presents a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real-world tasks. In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants. -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes... -
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MatlabFunc
Matlab codes for feature learning
MatlabFunc is a collection of MATLAB functions developed by the ZJULearning group to support various tasks in computer vision, machine learning, and numerical computation. The repository brings together a wide range of utility scripts, algorithms, and implementations that serve as building blocks for research and development. These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research domains. ... -
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AerinSistemas-Noname
Elasticsearch to Pandas dataframe or CSV
API and command line utility, written in Python, for querying Elasticsearch exporting result as documents into a CSV file. The search can be done using logical operators or ranges, in combination or alone. The output can be limited to the desired attributes. Also ToT can insert the querying to a Pandas Dataframe or/and save its in a HDF5 container (under development). -
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React 360
Create amazing 360 and VR content using React
React 360 is a framework for the creation of interactive 360 experiences that run in your web browser. It pairs modern APIs like WebGL and WebVR with the declarative power of React, producing applications that can be consumed through a variety of devices. Leveraging web technologies and the existing React ecosystem, React 360 aims to simplify the construction of cross-platform 360 experiences. We've designed the React 360 developer experience to get your first project up and running in only... -
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Please see http://firehol.org/ for up-to-date releases and information. FireHOL is a stateful iptables packet filtering firewall configurator. It is abstracted, extensible, easy and powerful. It can handle any kind of firewall, but most importantly, it gives you the means to configure it, the same way you think of it.
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SSD Keras
A Keras port of single shot MultiBox detector
This is a Keras port of the SSD model architecture introduced by Wei Liu et al. in the paper SSD: Single Shot MultiBox Detector. Ports of the trained weights of all the original models are provided below. This implementation is accurate, meaning that both the ported weights and models trained from scratch produce the same mAP values as the respective models of the original Caffe implementation. The main goal of this project is to create an SSD implementation that is well documented for those... -
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Easy Infrastructure Monitoring
Easily monitor network infrastructure services
An easy alternative for monitoring network infrastructure services. Focused on monitoring without requiring server changes or even special requirements on the monitoring machine. Can monitor remote systems via SSH or other communication channels. Intended to be extremely easy to use especially in smaller and medium sized network environments.
