Search Results for "machine" - Page 35
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Showing 4715 open source projects for "machine"
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Sophia
TypeScript AI platform with AI chat, Autonomous agents
Sophia is an AI-based fraud detection framework designed to identify and mitigate fraudulent activities in digital transactions and advertising. -
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Batteries Included
The main Batteries Included repo
Welcome to Batteries Included—the ultimate platform for modern service development. Built on Kubernetes and open-source, our software platform gives you an incredible, all-inclusive infrastructure experience thanks to an intuitive UI and advanced automation. In this repo, you'll find everything you need to contribute to development. From code and scripts to documentation and information, this is the hub of all things Batteries Included. Batteries Included is a platform designed to simplify... -
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nbmake
Pytest plugin for testing notebooks
Pytest plugin for testing and releasing notebook documentation. To raise the quality of scientific material through better automation. Research/Machine Learning Software Engineers who maintain packages/teaching materials with documentation written in notebooks. -
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Expr
Expression language and expression evaluation for Go
Expr package provides an engine that can compile and evaluate expressions. An expression is a one-liner that returns a value (mostly, but not limited to, booleans). It is designed for simplicity, speed and safety. The purpose of the package is to allow users to use expressions inside configuration for more complex logic. It is a perfect candidate for the foundation of a business rule engine. The idea is to let configure things in a dynamic way without recompile of a program. -
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Get Node.js
Download a specific version of Node.js
Download a specific version of Node.js. The Node.js release is downloaded, uncompressed and untared to an executable file ready to run. node >=14.18.0 must be globally installed. However any Node version can be downloaded. This package is an ES module and must be loaded using an import or import() statement, not require(). Node.js binary's CPU architecture. This is useful for example when you're on x64 but would like to run Node.js x32. -
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aie-book
Resources for AI engineers
aie-book is an open-source companion repository that supports a comprehensive guide to building real-world applications with modern AI systems, particularly those based on foundation models. It focuses on bridging the gap between theoretical machine learning knowledge and practical engineering workflows required to deploy AI systems in production. The material emphasizes system design, data pipelines, evaluation strategies, and deployment considerations rather than just model training. It explores how to work with large language models, retrieval systems, and agent-based architectures, providing a practical perspective on how AI is actually used in industry. ... -
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PyOpenCL
OpenCL integration for Python, plus shiny features
...PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration. -
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markdown-rs
CommonMark compliant markdown parser in Rust with ASTs and extensions
markdown-rs is an open-source markdown parser written in Rust. It’s implemented as a state machine (#![no_std] + alloc) that emits concrete tokens, so that every byte is accounted for, with positional info. The API then exposes this information as an AST, which is easier to work with, or it compiles directly to HTML. While most markdown parsers work towards compliancy with CommonMark (or GFM), this project goes further by following how the reference parsers (cmark, cmark-gfm) work, which is confirmed with thousands of extra tests. ... -
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Snoop Project
This is the most powerful software taking into account CIS location
Snoop is an open data intelligence tool (OSINT world). Snoop Project is one of the most promising OSINT tools for finding nicknames. This is the most powerful software taking into account the CIS location. Is your life slideshow? Ask Snoop. Snoop project is developed without taking into account the opinions of the NSA and their friends, that is, it is available to the average user. Snoop is a research work (own database / closed bugbounty) in the field of searching and processing public data... -
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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Gravity language
Gravity Programming Language
...It is written in portable C code that can be compiled on any platform using a C99 compiler. The VM code is about 4K lines long, the multipass compiler code is about 7K lines and the shared code is about 3K lines long. The compiler and virtual machine combined add less than 200KB to the executable on a 64-bit system. -
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Google Cloud Platform Go Samples
Sample apps and code written for Google Cloud
Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. Each sample is designed to be easily reusable, allowing developers to copy code directly into their own projects as a starting point for development. The repository includes both simple quickstart examples and more advanced application patterns, often accompanied by documentation guides that explain how to deploy and run them in different environments. ... -
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ModernBERT
Bringing BERT into modernity via both architecture changes and scaling
...ModernBERT introduces architectural improvements that enhance both training efficiency and inference performance, making the model more suitable for modern large-scale machine learning pipelines. The repository also includes FlexBERT, a modular framework that allows developers to experiment with different encoder building blocks and configurations when constructing new models. -
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tiny-llm
A course of learning LLM inference serving on Apple Silicon
...The project is structured as a guided course that walks developers through the process of implementing the core components required to run a modern language model, including attention mechanisms, token generation, and optimization techniques. Rather than relying on high-level machine learning frameworks, the codebase uses mostly low-level array and matrix manipulation APIs so that developers can understand exactly how model inference works internally. The project demonstrates how to load and run models such as Qwen-style architectures while progressively implementing performance improvements like KV caching, request batching, and optimized attention mechanisms. ... -
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Earth Engine API
Python and JavaScript bindings for calling the Earth Engine API
...With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. Visualization helpers render tiled layers and charts so analysts can iterate quickly on workflows like land-cover mapping, change detection, or time-series analysis. ... -
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Reduce.jl
Symbolic parser for Julia language term rewriting using REDUCE algebra
...REDUCE supports alternative user interfaces including Run-REDUCE, TeXmacs and GNU Emacs. REDUCE (and its complete source code) is available free of charge for most common computing systems, in some cases in more than one version for the same machine. The manual and other support documents and tutorials are also included in the distributions. -
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Node.js Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models
...NLP Cloud serves high-performance pre-trained or custom models for NER, sentiment analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, text generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, and served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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ohmyposh.dev
A prompt theme engine for any shell
...From standard segments all the way to custom implementations. No matter which shell you're using, or even how many, you can carry the configuration from one shell and/or machine to another for the same prompt everywhere you work. What started as the offspring of oh-my-posh2 for PowerShell resulted in a cross platform, highly customizable and extensible prompt theme engine. After 4 years of working on oh-my-posh, a modern and more efficient tool was needed to suit my personal needs. When you look at prompts like Agnoster or Paradox, you notice they usually consist of a few building blocks which contain one or more segments that display some sort of information. ... -
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AWS Toolkit for JetBrains
A plugin for interacting with AWS from JetBrains IDEs
...If you come across bugs with the toolkit or have feature requests, please raise an issue on our GitHub repository. See the user guide for how to get started, along with what features/services are supported. CodeWhisperer uses machine learning to generate code suggestions from the existing code and comments in your IDE. Supported languages include: Java, Python, and JavaScript. In addition to providing code suggestions within your current file, CodeWhisperer can scan your code package to identify security issues. Connect to AWS using static credentials, credential process, or AWS SSO. ... -
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Maltrail
Malicious traffic detection system
...Sensor(s) is a standalone component running on the monitoring node (e.g. Linux platform connected passively to the SPAN/mirroring port or transparently inline on a Linux bridge) or at the standalone machine (e.g. Honeypot) where it "monitors" the passing Traffic for blacklisted items/trails (i.e. domain names, URLs and/or IPs). -
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nopCommerce
The most popular open-source eCommerce shopping cart solution
...The active developer community has more than 250,000 members. nopCommerce runs on ASP.NET Core 5 with an MS SQL 2012 (or higher) backend database. nopCommerce is cross-platform, and you can run it on Windows, Linux, or Mac. nopCommerce supports Docker and MySQL out of the box, so you can easily run nopCommerce on a Linux machine. nopCommerce supports PostgreSQL database. nopCommerce fully supports web farms. You can read more about it here. All methods in nopCommerce are async. nopCommerce supports multi-factor authentication out of the box. -
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Agent Executor (AX)
Google's open source distributed agent runtime
...It focuses on flexible model construction rather than a single fixed estimator, making it useful for researchers who want to experiment with different utility functions and optimization setups. ax is especially relevant for machine learning and econometrics workflows that need scalable, differentiable approaches to choice modeling. Its main value is giving researchers a modern, accelerator-friendly framework for estimating and analyzing discrete choice behavior. -
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Stakpak
Ship your code, on autopilot. An open source agent
Stakpak is an open-source autonomous DevOps agent designed to run continuously on a machine, managing infrastructure, deployments, and operational tasks with minimal human intervention. It acts as a persistent system-level assistant that monitors applications, executes DevOps workflows, and only alerts humans when necessary, effectively automating routine operational responsibilities. The agent is built with strong safety considerations, including guardrails that prevent destructive actions and a secure approach to handling credentials without exposing them directly to language models. ... -
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The Bitdefender disassembler
bddisasm is a fast, lightweight, x86/x64 instruction decoder
The Bitdefender disassembler is a highly optimized, lightweight x86/x64 instruction decoder designed for security, reverse engineering, and low-level systems analysis. It focuses on decoding machine instructions with high precision while providing detailed metadata about each instruction, including operands, access modes, CPU flags, and feature requirements. Unlike many disassemblers, bddisasm is built with zero dynamic memory allocation and no external dependencies, making it extremely portable and suitable for constrained environments such as kernels, hypervisors, and embedded systems. ... -
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ClawTeam
ClawTeam: Agent Swarm Intelligence (One Command → Full Automation)
...These agents communicate, share insights, and dynamically adapt their strategies based on real-time feedback, creating a form of collective intelligence. The framework supports a wide range of use cases, including software development, machine learning research, financial analysis, and content production. It is designed to work with various AI tools and command-line agents, making it highly flexible and extensible. ClawTeam also includes monitoring tools such as dashboards and tmux-based views to observe agent activity and progress. -
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The AI Scientist-v2
Workshop-Level Automated Scientific Discovery via Agentic Tree Search
...The platform is capable of generating original research ideas, designing and executing experiments, analyzing and visualizing results, and producing full academic papers without direct human intervention. It introduces a generalized framework that removes reliance on predefined templates, enabling broader applicability across multiple machine learning domains and more open-ended exploration of research problems. A key innovation is its progressive agentic tree search, which systematically explores experimental paths and is coordinated by an experiment manager agent that guides decision-making. The system also integrates automated review mechanisms, including vision-language feedback loops, to iteratively refine the quality of generated research outputs.
