Search Results for "machine learning projects" - Page 33
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Showing 2393 open source projects for "machine learning projects"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Live Agent Studio
Open source AI Agents hosted on the oTTomator Live Agent Studio
...Each agent in the collection is designed for a specific use case — such as content summarization, task automation, travel planning, or RAG workflows — and is provided with the code or configuration needed to explore and extend it on your own, making the repository both a learning resource and a practical starting point for real projects. The repository is community focused, with sample agents like tweet generators, smart selectors, research assistants, and multi-tool workflows that show how agents can integrate with tools like n8n or custom Python code. Because it’s tied to the broader Live Agent Studio ecosystem, users can experiment with deploying and using these agents in a hosted environment. -
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30 Seconds of Java
Collection of reusable tested Java 21 compatible code snippets
30 Seconds of Java is a curated collection of short, focused Java code snippets intended to teach small concepts quickly, similar to the popular “30 seconds of code” format in other languages. Each snippet is designed to be read and understood in under a minute, showing a single idea such as working with streams, handling optionals, manipulating collections, or doing common utility tasks. The repo targets both beginners who want bite-sized learning and experienced developers who just need a... -
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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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Open Source with Pradumna
Resources and materials to get yourself started with open source
Open Source guide, contains resources and materials to learn and get yourself started with Open Source, Git, and GitHub. Building the repo you need to get started with Open Source. This repo contains resources and materials to learn and get yourself started with Open Source, Git and GitHub. The repo content is divided into several Pages for better structuring, easy navigation and making learning easier. Contains 15 days of Twitter threads and blogs that I posted during the Bootcamp. Contains... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Amazon Braket PennyLane Plugin
A plugin for allowing Xanadu PennyLane to use Amazon Braket devices
...The Amazon Braket Python SDK is an open-source library that provides a framework to interact with quantum computing hardware devices and simulators through Amazon Braket. PennyLane is a machine learning library for optimization and automatic differentiation of hybrid quantum-classical computations. Once the Pennylane-Braket plugin is installed, the provided Braket devices can be accessed straight away in PennyLane, without the need to import any additional packages. While the local device helps with small-scale simulations and rapid prototyping, the remote device allows you to run larger simulations or access quantum hardware via the Amazon Braket service. -
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GH Archive
GH Archive is a project to record the public GitHub timeline
...The dataset is also published through Google BigQuery for large-scale SQL-style exploration without downloading every archive. Its structure supports trend analysis, visualizations, machine learning, and open-source ecosystem research. The repository contains the crawler, supporting scripts, and website code, while the actual event files are hosted separately. -
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Swift Numerics
Advanced mathematical types and functions for Swift
...The modules are factored to keep dependencies minimal and to allow adopters to pull in only what they need. As a result, Swift Numerics underpins higher-level libraries in simulation, signal processing, and machine learning written in pure Swift. -
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JENGINE
The solution that allows unity games update in runtime
JEngine is an out-of-the-box framework designed for Unity developers. It encapsulates powerful functions. Beginners can also get started quickly and easily create games that can be updated hotly. The master branch is the latest version that the developers think can be used normally and will not have too many problems. It is recommended to use and has the most powerful functions (fixes bugs in versions 0.6 and 0.5 at the same time); The 0.6.x branch is currently in use by most commercial... -
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hCaptcha Challenger
Gracefully face hCaptcha challenge with multimodal llms
hCaptcha Challenger is an open-source automation framework designed to solve hCaptcha verification challenges using computer vision models and multimodal reasoning techniques. The project integrates machine learning models capable of analyzing visual captcha tasks and identifying the correct responses required to pass the verification process. Instead of relying on third-party captcha-solving services or browser scripts, the system operates independently by using pretrained neural networks that can classify images, detect objects, and interpret spatial relationships. ... -
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Catalyst.jl
Chemical reaction network and systems biology interface
...Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc). -
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Chicory
Native JVM WebAssembly runtime
Chicory is a WebAssembly runtime designed specifically for the Java Virtual Machine, enabling developers to run Wasm modules entirely within Java applications without requiring native dependencies or JNI. Implemented in pure Java, it provides a portable and secure execution environment that can run anywhere the JVM is available, including cloud, desktop, and embedded systems. The runtime loads WebAssembly binaries and exposes their functions as callable Java APIs, allowing seamless... -
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autoresearch for AMD
AI agents running research on single-GPU nanochat training
autoresearch for AMD is a framework for autonomous scientific experimentation in machine learning, enabling AI agents to iteratively improve models through a continuous loop of hypothesis generation, experimentation, and evaluation. The system is built around a minimal structure that includes a data preparation module, a training script that can be modified, and a program specification that guides the agent’s decision-making process. -
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egos-2000
Helping students read all the code of a teaching operating system
egos-2000 is a minimalist operating system built for educational and research purposes, offering a simplified kernel and runtime environment for exploring OS concepts. It runs on QEMU and is written in C/C++ with a focus on clarity and modularity. The system includes a basic filesystem, process management, and syscall interface, making it ideal for understanding core OS principles. egos-2000 is particularly well-suited for students learning about kernels, user-space interaction, and... -
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Z80-μLM
Z80-μLM is a 2-bit quantized language model
...A key deliverable is producing CP/M-compatible .COM binaries, enabling a genuinely vintage “chat with your computer” experience on real hardware or accurate emulators. The project sits at the intersection of machine learning and systems constraints, showing how model architecture, quantization, and inference code generation can be adapted to extreme memory and compute limits. It also functions as an educational reference for how to reduce inference to operations that fit an old-school instruction set and runtime environment. -
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Datumaro
Dataset Management Framework, a Python library and a CLI tool to build
...Datumaro makes it easy to merge datasets, split them into training/validation/test subsets, filter or transform annotations, and validate annotation quality — all while preserving metadata and supporting detailed statistics. It’s especially useful when you’re dealing with heterogeneous data sources or need to prepare complex datasets for machine learning workflows, freeing you from writing custom scripts for every format conversion. -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
...It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. With business logic running at the Edge, much larger volumes of data can be secured & processed locally where the data is produced. With data processed at the Edge, the responsiveness is increased dramatically and data privacy is protected. -
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Jekyll Picture Tag
Easy responsive images for Jekyll
My life just got a lot busier; I'd really like a maintainer or two to help. I'm not abandoning JPT, I just don't have a ton of time to put into hacking on it. If you've been learning Ruby and you want to move beyond tutorials and throwaway projects, I'd love to hear from you. I'd be happy to help you gain experience and credibility, if you're willing to help me maintain this project! It's simple to throw a photo on a page and call it a day, but doing justice to users on all different browsers and devices is tedious and tricky. ... -
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Uno Platform
Build Mobile, Desktop and WebAssembly apps
The first and only UI Platform for single-codebase applications for Windows, WebAssembly, iOS, macOS, Android and Linux. The only open source-platform for creating true single-source, multi-platform applications. Reuse 99% of the business logic and UI layer across native mobile, web and desktop. Maintain pixel-perfect control over where pixels go while having a choice of developing a platform-specific or custom look and feel of your application. Familiarity and richness of C# and XAML... -
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marqo
Tensor search for humans
A tensor-based search and analytics engine that seamlessly integrates with your applications, websites, and workflows. Marqo is a versatile and robust search and analytics engine that can be integrated into any website or application. Due to horizontal scalability, Marqo provides lightning-fast query times, even with millions of documents. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. It can seamlessly handle image-to-image, image-to-text and... -
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Small-projects-with-c
A set of basic academic C programs for learning and practice.
This repository contains a collection of basic and academic C programming projects developed for coursework at Islamic Azad University, Central Tehran Branch. The purpose is to help beginners understand core programming concepts such as conditionals, loops, arrays, recursion, and math functions. Each project is organized in its own folder, with readable code and clear logic. Ideal for students and educators looking for structured C examples. Contributions and feedback are welcome. -
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Pion TURN
Pion TURN, an API for building TURN clients and servers
Pion TURN is a Go toolkit for building TURN servers and clients. We wrote it to solve problems we had when building RTC projects. Deployable - Use modern tooling of the Go ecosystem. Stop generating config files. Embeddable - Include pion/turn in your existing applications. No need to manage another service. Extendable - TURN as an API so you can easily integrate with your existing monitoring and metrics. Maintainable - pion/turn is simple and well documented. -
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Nix
Nix, the purely functional package manager
...Learn how to make reproducible, declarative and reliable systems. Nix builds packages in isolation from each other. This ensures that they are reproducible and don’t have undeclared dependencies, so if a package works on one machine, it will also work on another. Nix makes it trivial to share development and build environments for your projects, regardless of what programming languages and tools you’re using. Nix ensures that installing or upgrading one package cannot break other packages. It allows you to roll back to previous versions, and ensures that no package is in an inconsistent state during an upgrade. -
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BlockScout
Blockchain explorer for Ethereum based network
Blockscout provides a comprehensive, easy-to-use interface for users to view, confirm, and inspect transactions on EVM (Ethereum Virtual Machine) blockchains. Blockscout currently supports a wide range of projects and hosts chains such as Ethereum, Ethereum Classic, Gnosis Chain, RSK, LUKSO, Astar, and many more. BlockScout is an Elixir application that allows users to search transactions, view accounts and balances, and verify smart contracts on the Ethereum network including all forks and sidechains. ... -
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Interview_Question_for_Beginner
Technical-Interview guidelines written for studying programming
...Core topics include data structures, networking, operating systems, databases, design patterns, algorithms, and general development concepts. Language-specific material covers Java, JavaScript, and Python. Separate sections address frontend development, iOS, and machine learning. The repository also collects real interview questions, reverse-interview suggestions for candidates, learning references, and community contributions through issues and pull requests. -
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NOFX
Open source AI trading OS for autonomous multi-model trading systems
NOFX is an open source AI-powered trading operating system designed to automate financial trading workflows using autonomous AI agents. It acts as an infrastructure layer that transforms market data into AI-driven trade decisions and execution. Instead of requiring users to manually configure machine learning models, data sources, and API integrations, the system allows AI components to perceive market conditions, select models, and perform trading actions automatically. It supports running multiple AI models simultaneously and allows them to compete or collaborate when making trading decisions. NOFX integrates trading infrastructure such as exchange connectivity, strategy management, and performance monitoring into a single environment. ...
