Search Results for "engineer" - Page 2
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Showing 147 open source projects for "engineer"
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p5.js
Client-side JS platform for artists, designers and students to express
...For self-learners and animators, artists, game makers, creative-technologists, curriculum planners, designers, graphic designers, graphics editors, learning experience designers, project managers, software engineer, student, teachers, university faculty members, visualization researchers, etc. -
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ML Intern
ML engineer that reads papers, trains models, and ships ML models
ML Intern is a repository by Hugging Face that provides educational content and projects aimed at helping learners gain practical experience in machine learning and AI development. It is designed to simulate the experience of working as a machine learning intern, offering tasks and exercises that mirror real-world workflows. The project includes tutorials, datasets, and example implementations that guide users through different aspects of ML development. It emphasizes hands-on learning,... -
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ComfyUI Examples
Examples of ComfyUI workflows
...Instead of starting from an empty graph, you can open an example and see how prompts, samplers, models, and image processing steps are wired together. This makes ComfyUI more approachable for people coming from “one text box” generators, because they can reverse-engineer complex pipelines visually. The examples also serve as references for best practices like model loading order, latent handling, upscaling chains, and conditioning. As ComfyUI evolves, the examples are updated to show off new features and nodes. It’s basically the “show me how to do that” repo for the ComfyUI ecosystem. -
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MathCode
A Frontier Mathematical Coding Agent
...The project combines AI agents with Lean Language Server Protocol integration, allowing it to inspect compiler feedback, search for lemmas, and iteratively repair failed proof attempts. It supports an agentic proving workflow where the system behaves more like an interactive mathematical engineer than a one-shot text generator. MathCode also includes visualization-oriented tooling such as theorem graph generation for Obsidian knowledge workflows. Its main value is bridging natural-language mathematics with formal verification systems in a way that is more automated, inspectable, and iterative than traditional theorem-proving pipelines. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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i.am.ai
Roadmap to becoming an Artificial Intelligence Expert in 2022
i.am.ai is a structured educational guide that maps out the knowledge areas and technologies required to become an artificial intelligence or machine learning expert. The project presents visual charts that outline multiple career paths such as data scientist, machine learning engineer, and AI specialist, helping learners understand what to study and in what order. It was originally created to train internal employees but was released publicly to support the broader community. The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. ... -
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Fulling
Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui
Fulling is an open-source AI-powered development environment designed to function as an autonomous full-stack engineering assistant. The platform provides a sandboxed workspace where developers can build complete applications with the help of an integrated AI coding agent. Instead of manually configuring development environments, the system automatically provisions the required infrastructure including a Linux environment, database services, and development tools. It integrates an AI pair... -
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Maths, CS & AI Compendium
Become a cracked AI/ML Research Engineer
Maths, CS & AI Compendium is an open educational project that explains mathematics, computing, and artificial intelligence from foundational concepts through advanced engineering topics. It favors intuition, practical context, and connected explanations over dense textbook notation. Its chapters cover vectors, matrices, calculus, statistics, probability, machine learning, language processing, computer vision, speech, multimodal learning, robotics, and graph neural networks. It also addresses... -
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Machine Learning Systems
Introduction to Machine Learning Systems
Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository includes textbook content, supporting labs, and companion tools such as TinyTorch to help learners move from theory to hands-on experimentation. ... -
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Anthropic's Original Performance
Anthropic's original performance take-home, now open for you to try
...The project sets up a baseline performance problem where participants work to reduce simulated “clock cycles” required to run a given workload, effectively challenging them to engineer faster code under constraints. This take-home includes starter code, tests, and tools to debug performance, aiming to measure how effectively one can apply algorithmic improvements and optimizations. Because it’s framed around beating baseline scores — and even outperforming previous automated systems — it encourages both deep knowledge of Python and creative problem-solving. -
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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huihut interview
A summary of C/C++ technical interview basics
...Many entries include both the problem statement and one or more reference implementations, offering insights into time/space complexity and tradeoffs between competing strategies. It’s organized to be approachable whether you’re a student preparing for your first internship or an experienced engineer brushing up on fundamentals before a big interview round. -
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Markdown-Resume-Template
Resume template designed to be edited in Markdown
Markdown-Resume-Template is a clean, engineer-friendly resume template designed to be edited in Markdown and exported to formats recruiters can read easily. The template emphasizes clarity and impact—concise summaries, accomplishment-driven bullet points, and sections that highlight projects, experience, and skills. Because it’s plain text, you can track changes in Git, branch for different roles, and keep a full revision history of your career materials. -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,... -
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AIGC-Interview-Book
AIGC algorithm engineer interview secrets
AIGC-Interview-Book is a large educational repository designed to help engineers prepare for technical interviews related to artificial intelligence and generative AI roles. The project compiles knowledge from industry practitioners and researchers into a structured reference covering the AI ecosystem. Topics included in the repository span large language models, generative AI systems, traditional deep learning methods, reinforcement learning, computer vision, natural language processing,... -
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Acontext
Context data platform for building observable, self-learning AI agents
Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also supports agent self-learning by distilling structured skills and experiences from previously completed tasks, which can later be reused or searched to improve future performance. ... -
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Blurhash
Library to show colorful blurry placeholders while your content loads
...Does your designer cry every time you load their beautifully designed screen, and it is full of empty boxes because all the images have not loaded yet? Does your database engineer cry when you want to solve this by trying to cram little thumbnail images into your data to show as placeholders? Replace boring grey boxes with beautiful blurhash states and the designers will be happy. Blurhash strings are short enough to be added as a field in a JSON object and to be stored in a database. The implementations are small and easy to port to new languages, and the end result is a smooth and interesting experience for your users. ... -
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Il2CppDumper
Unity il2cpp reverse engineer
Il2CppDumper is a Unity IL2CPP reverse engineering tool for analyzing supported Unity applications and game binaries. It can restore DLL metadata structures without restoring original code, which helps researchers inspect classes, methods, fields, MonoBehaviour data, and MonoScript information. The tool supports executable formats such as ELF, ELF64, Mach-O, PE, NSO, and WASM. It supports Unity versions from 5.3 through 2022.2, according to the repository documentation. Il2CppDumper can... -
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wasphere
WaSphere by Waqas Ahmed Waseer
...Website: https://wasphere.com Source: https://github.com/wasphere/wasphere About the author — Waqas Ahmed Waseer Portfolio: https://waqasahmedwaseer.com Email: hello@waqasahmedwaseer.com Full-stack engineer & AI automation specialist. I build and run production AI systems: FlowMaticX (my own AI SaaS), custom multi-tenant SaaS, WHMCS/cPanel hosting systems and n8n automations. 8+ years, 100+ shipped projects, Upwork Top Rated Plus. Based in Lahore, Pakistan — working worldwide. Founder of FlowMaticX & WaseerHost. -
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Whmcs-Spaceship-Registrar
WHMCS Spaceship Registrar module by Waqas Ahmed Waseer
...Package: https://packagist.org/packages/waqasahmedwaseer/whmcs-spaceship-registrar Source: https://github.com/Waqasahmedwaseer/Whmcs-Spaceship-Registrar About the author — Waqas Ahmed Waseer Website: https://waqasahmedwaseer.com Email: hello@waqasahmedwaseer.com Full-stack engineer & AI automation specialist. I build and run production AI systems: FlowMaticX (my own AI SaaS), custom multi-tenant SaaS, WHMCS/cPanel hosting systems and n8n automations. 8+ years, 100+ shipped projects, Upwork Top Rated Plus. Based in Lahore, Pakistan — working worldwide. Founder of FlowMaticX & WaseerHost. -
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AlertsOnWings2
Heartbeat your network
AlertsOnWings is web-based interface for viewing a `heartbeat` of network by pinging hosts. No extra files, only DB. All reports generated "on-the-fly". User/Engineer/Admin roles. -
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🚂 WELCOME TO RAILS: THE ULTIMATE 18XX GAME ENGINE! 🚂 Are you ready to step into the shoes of 19th-century robber barons, manipulate stock markets, engineer ruthless hostile takeovers, and build the most lucrative railway empires in board gaming history? Rails is the premier, open-source Java engine dedicated entirely to the deep, tactical world of the 18xx operational and economic strategic series. Whether you are running local shortlines or launching massive continental networks, Rails automates the heavy lifting of banking and track laying so you can focus entirely on outsmarting your corporate rivals...
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FortranBSD
FortranBSD is DragonflyBSD-based OS with built-in GNU Fortran
... 🔹 Optimized for Fortran programming 🔹 Built on a robust, efficient foundation 🔹 Ideal for scientific computing, simulations, and high-performance Computation (HPC) applications FortranBSD is a game-changer for anyone working with Fortran who wants an OS that fully supports and enhances multithreaded execution. Whether you're a researcher, engineer, or performance enthusiast, this is the OS you've been waiting for! Stay tuned for more updates, and if you're interested in contributing, testing, or collaborating, let’s connect! -
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Vendor Neutral AI SDK for EDA Agents
RTL, Verification, Lint, CDC, FECAD, Synthesis, DFT, SoC Integration
...Runs entirely inside your network against a local model server or your own provider keys. One planner across RTL → CDC → DFT → DV → Signoff A modern sign-off chains ten or more tools, each with its own flags, logs and failure modes — and the engineer is the integration layer. EDAUtils turns a sentence into a dependency-checked plan, runs the real tools, and hands back the evidence plus a replay script for every step. -
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atomes
Analysis, visualization, edition of 3D atomistic models
...atomes also provides an advanced input preparation system for further calculations using well known molecular dynamics codes: - Classical MD : DL-POLY and LAMMPS - ab-initio MD : CPMD and CP2K - QM-MM MD : CPMD and CP2K atomes is developed by Dr. Sébastien Le Roux, research engineer for the CNRS Dr. Sébastien Le Roux works at the Institut de Physique et Chimie des Matériaux de Strasbourg. -
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Cider App
A new cross-platform Apple Music experience based on Electron and Vue
...Quickly share and show others what you're listening to; right out of the box. Audio Enhancements. Audio Spatialization, Adrenaline Processor™, and Equalizers are all available and actively engineered by our Audio Engineer, Maikiwi. Remote Controllable. We know how irritating it is to Alt+Tab constantly while working or gaming, and we have a remote app just for that. Cider is available on a range of platforms, view our downloads page to find out if your device is supported! -
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Machine Learning for Software Engineers
A complete daily plan for studying to become a machine learning engine
Machine Learning for Software Engineers is an open-source learning roadmap designed to help software engineers transition into machine learning roles through a structured, practical study plan. The repository presents a top-down learning path that emphasizes hands-on experience rather than heavy theoretical prerequisites, making it particularly approachable for developers who already have programming experience but limited formal training in machine learning. The project organizes a...
