Search Results for "machine" - Page 32
Sort By:
Showing 1802 open source projects for "machine"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
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.
-
1
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. -
2
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. ... -
3
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 -
4
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. -
Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
-
5
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. ... -
6
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... -
7
UDPStressTest
A Desktop app for network stress testing, TCP-Ping and icmp ping.
Easy to use GUI app. *It reads your active and Up NIC and gets some info about it. * You can see your machine IP Address, gateway, subnet mask. * You can ping any ip address you want and get measure of TTL. * It gets the available range of IP's in your local network. * When you start the test you see testing throughput as a graph against time also total size of packet sent in (MB). *You can use it as DOS attack tool. *Every action done on the app is logged in XML file as data source (only stress test + ping). ... -
8
Bender
Easily craft fast Neural Networks on iOS
...Either way, it just takes a few minutes. Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. Apple released conversion tools to create CoreML models which then can be run easily. Finally, there is no easy way to add additional pre or post-processing layers to run on the GPU. -
9
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... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
10
OS9exec - execution environment for OS-9/68k user-mode programs on MacOS9 / MacOSX / Windows and Linux host OS. (OS-9 is an RTOS of Microware/Radisys)
-
11
VideoMan Library
C++ library for image acquisition and visualization
...It can also display multiple images using OpenGL with different layouts. Easy integration with OpenCV, CUDA... Perfect for computer vision. Keywords: video capture, computer vision, machine vision, opencv, opengl, cameras, video input devices, firewire, usb, gige -
12
Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. ... -
13
FlexxCpu
Flexible and eXpandable Cpu simulation
A small simulation of an experimental customized Cpu called FlexxCpu. A virtual Cpu whose assembly instructions have been strongly influenced by old cpus architecture (8080, 6809, z80, 68k, etc...) Please support this project by donating to this fundraiser: ------------------------------------------- Give birth to new travel bicycles!!! https://gofund.me/2201d2a4 ------------------------------------------- -
14
Lightweight Virtual Machine Manager (aka Lightweight Xen Manager) is a set of bash scripts and session manager to automate operations on virtual machines like cloning, taking snapshots...
-
15
TextTeaser
TextTeaser is an automatic summarization algorithm
...By combining these features with a simple scoring mechanism, it produces summaries that are both readable and informative. Originally inspired by research and earlier implementations, textteaser provides a lightweight solution for summarization without requiring heavy machine learning models. It is particularly useful for developers, researchers, or content platforms seeking a simple, rule-based approach to article summarization. -
16
Edward
A probabilistic programming language in TensorFlow
...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 enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. Expectation-Maximization, pseudo-marginal and ABC methods, and message passing algorithms. -
17
PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
18
Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet'... -
19
-
20
A Finite State Machine Editor, written on QT. It allows to draw Finite State Machine with easy GUI and store it in XML file. There are Finite State Machine Compilers to translate this description to source code (technique like QT's UIC uses).
-
21
Caffe Framework
Caffe, a fast open framework for deep learning
...Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. -
22
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. The gpu... -
23
Tangent
Source-to-source debuggable derivatives in pure Python
...In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy. -
24
Classic BCPL for the ATARI ST
BCPL was designed by Martin Richards at Cambridge University (1966)
Here you will find a collection of BCPL tools I've gathered from the net, cleaned up and ported to the Atari ST. This involved fixing bugs, reducing stack usage and making the code compile in 16bit via Pure C (Turbo C for the Atari ST). Source credits include: Martin Richards - BCPL Kit http://www.cl.cam.ac.uk/~mr10/ Robert Nordier (Translated interp to C) http://www.nordier.com/ Serge Vakulenko (Translated cg/syn/trn to C) https://github.com/sergev/b I'm sure there are... -
25
The PHP script engine for Java. --- Run PHP applications within any J2EE server or servlet engine and/or connect script engines like PHP with Java or .NET back ends efficiently.
