Search Results for "machine" - Page 88
Sort By:
Showing 4715 open source projects for "machine"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
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.
-
1
Keystone Engine
Keystone assembler framework: Core (Arm, Arm64, Hexagon, Mips, etc.)
Keystone is a lightweight multi-platform, multi-architecture assembler framework. Multi-architecture, with support for Arm, Arm64 (AArch64/Armv8), Ethereum Virtual Machine, Hexagon, Mips, PowerPC, Sparc, SystemZ, & X86 (include 16/32/64bit). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in C/C++ languages, with bindings for Java, Masm, Visual Basic, C#, PowerShell, Perl, Python, NodeJS, Ruby, Go, Rust, Haskell & OCaml available. Native support for Windows & *nix (with Mac OSX, Linux, *BSD & Solaris confirmed). ... -
2
exchange-core
Ultra-fast matching engine written in Java based on LMAX Disruptor
Exchange-core is an open-source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. Designed for high scalability and pauseless 24/7 operation under high-load conditions and providing low-latency responses. Single order book configuration is capable to process 5M operations per second on 10-years old hardware (Intel® Xeon® X5690) with moderate latency degradation.... -
3
ocapi
C-level driver collection for MSP430 and derivatives
...So it should work, no matter if you live in the Windows, Linux or Mac world. ocapi is used as the hardware abstraction layer for the MSP430 port of the Takatuka Java virtual machine (JVM). Before it can be used, the library must be built from the sources provided here. The build environment allows for fine grained configuration of the library's functionality and target system. -
4
ModelDB
Open Source ML Model Versioning, Metadata, and Experiment Management
An open-source system for Machine Learning model versioning, metadata, and experiment management. ModelDB is an open-source system to version machine learning models including their ingredients code, data, config, and environment and to track ML metadata across the model lifecycle. -
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.
-
5
COCO Annotator
Web-based image segmentation tool for object detection & localization
COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and object detection. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, label objects with disconnected visible parts, and efficiently store and export annotations in the well-known COCO format. The annotation process is delivered through an intuitive and... -
6
Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights, biases, activation functions, and gradient descent, as well as more advanced techniques like convolutional networks, recurrent networks, and reinforcement learning. ... -
7
Deep Learning cheatsheets
VIP cheatsheets for Stanford's CS 230 Deep Learning
...The repository combines concise theoretical explanations with practical training advice, making it valuable for both interview preparation and hands-on model development. Its materials are widely used within the machine learning community because of their accessibility, clarity, and high information density. -
8
Spectral Python
A python module for hyperspectral image processing
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. -
9
RISC-V BOOM
SonicBOOM: The Berkeley Out-of-Order Machine
The riscv-boom project (also called BOOM or SonicBOOM) implements a high-performance, synthesizable out-of-order RISC-V core written in the Chisel hardware construction language. It targets the RV64GC (i.e. 64-bit with general + compressed + floating point) instruction set and supports features such as virtual memory, caches, atomics, and IEEE-754 floating point. The design is parameterizable, meaning users can tune pipeline widths, buffer sizes, functional units, and other... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
10
cintruder
CIntruder - OCR Bruteforcing Toolkit
Captcha Intruder is an automatic pentesting tool to bypass captchas. -> CIntruder-v0.4 (.zip) -> md5 = 6326ab514e329e4ccd5e1533d5d53967 -> CIntruder-v0.4 (.tar.gz) ->md5 = 2256fccac505064f3b84ee2c43921a68 -------------------------------------------- -
11
Autshumato MTWS
Autshumato Machine Translation Web Service
Web service providing access to the Autshumato Machine Translation (MT) and other Moses Statistical MT systems. Functionality includes: - Automatic sentence, document, web page translation. - Improvements for translations. - Reviewer requests and interface to review improvements - Connection to the latest version of the Autshumato ITE, Post Edits done on inserted automatic translations are automatically submitted to the MTWS -
12
End-To-End
End-To-End is a crypto library to encrypt, decrypt, digital sign
End-to-End was a client-side encryption project that prototyped OpenPGP-compatible, end-to-end encrypted messaging in the browser. The idea was to move cryptographic operations entirely to the user’s machine—key generation, encryption, and signature—so messages remain unreadable to intermediaries. It packaged a JavaScript crypto library, UI elements, and a browser extension workflow that could integrate with webmail-style UIs without server changes. The codebase emphasized careful key handling, usability experiments around key discovery and verification, and mitigations against common web threats like XSS. ... -
13
hamOS
Debian respin for amateur radio
...This respin is geared toward the newer linux user. hamOS uses the lightweight LXDE desktop environment and is therefore suitable for older hardware (I've used it on a PII 300mHz machine w/ 256mb ram). Check out the GetExtras folder on the desktop to run some custom scripts that will automatically grab flash, codecs, and other non-libre software. -
14
DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ... -
15
SINGA
A distributed deep learning platform
Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. Various example deep learning models are provided in SINGA repo on Github and on Google Colab. SINGA supports data parallel training across multiple GPUs (on a single node or across different nodes). SINGA supports various popular optimizers including stochastic gradient descent with momentum, Adam, RMSProp, and AdaGrad, etc. -
16
BookPart2
Interpreter Code for Book Part 2
Source code for the book "Writing an Interpreter for Object Pascal: Part 2 This is the second part of a series that will show you how to write an interactive interpreter in Object Pascal. Part 2 describes the building of the first version of a virtual machine together with a simple assembler. The book combines the virtual machine with the syntax checker for the Rhodus language. Intermediate code is generated directly as the source code is parsed. At the end of Part II, the reader will be a very serviceable interpreter that supports user-defined functions, built-in functions, string, and list support together with a range of looping constructs. ... -
17
Simplify
Android virtual machine and deobfuscator
Simplify virtually executes an app to understand its behavior and then tries to optimize the code so that it behaves identically but is easier for a human to understand. Each optimization type is simple and generic, so it doesn't matter what specific type of obfuscation is used. Provides a virtual machine sandbox for executing Dalvik methods. After executing a method, it returns a graph containing all possible register and class values for every execution path. It works even if some values are unknown, such as file and network I/O. For example, any if or switch conditional with an unknown value results in both branches being taken. ... -
18
Multrin
Organize apps windows in tabs like in abandoned Windows Sets and more
...Multrin works currently only on Windows and macOS. Support for Linux coming soon. Before running Multrin in development mode, please ensure you have Node.js installed on your machine. When running on Windows, make sure you have build tools installed. You can install them by running as an administrator. -
19
Roleplayer
Turn-based strategy game maker
...The game settings include common elements in turn-based strategy games such as maximum number of turns, overall score, game play fields such as health, wealth, etc. Game logic in the template executes actions from human player and machine player alternatively. Human player maximises score by accumulating field figures through actions. Machine player would work against the human player. For instance, human player would trigger an action to increase the field Health by action Exercise. Machine player may counteract by responding with the Sick action to deduct points from the health and wealth fields. ... -
20
SwaNN
PSO for neural networks
SwaNN is a basic framework for neural networks based on particle swarm optimization (using the Python package PySwarms (https://pyswarms.readthedocs.io/en/latest/). The zip file contains the main programs in SwaNN.py and around 30 examples : - classification - regression - time series forecasting I need some help for class building (I am not an expert in Python nor in OOP), if somebody is interested in it... In Google Colab :... -
21
Axys Idle Closer
Share Axys license seats more efficiently.
...However, if the user does not respond then Axys is automatically closed, unless the user has an unsaved file open, then Axys will display a 'save changes' dialog and it will stay open. AxysCloser displays staff currently using Axys. It detects if axys32.exe or rep32.exe is running on the local machine, and if so then it creates a token file in the Axys root directory, which is detected by other users running AxysCloser. -
22
fastText
Library for fast text classification and representation
...Such categories can be review scores, spam v.s. non-spam, or the language in which the document was typed. Nowadays, the dominant approach to build such classifiers is machine learning, that is learning classification rules from examples. In order to build such classifiers, we need labeled data, which consists of documents and their corresponding categories (or tags, or labels). -
23
Olivia
Your new best friend powered by an artificial neural network
Olivia is an open-source chatbot built in Golang using Machine Learning technologies. Its goal is to provide a free and open-source alternative to big services like DialogFlow. You can chat with her by speaking (STT) or writing, she replies with a text message but you can enable her voice (TTS). Olivia can listen to you by saying “Hey Olivia” or clicking on the central button. She speaks to reply to you unless you've disabled her voice. -
24
NLP Best Practices
Natural Language Processing Best Practices & Examples
...The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in NLP algorithms, neural architectures, and distributed machine learning systems. -
25
StateOS
Free real-time operating system designed for microcontrollers
Free, extremely simple, amazingly tiny and very fast real-time operating system (RTOS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state.
