Search Results for "problem a"
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Showing 1775 open source projects for "problem a"
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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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Problem
A Java library that implements application/problem+json
Problem is a library that implements application/problem+json. It comes with an extensible set of interfaces/implementations as well as convenient functions for everyday use. It's decoupled from any JSON library but contains a separate module for Jackson. -
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Autodesk Fusion 360
Use Autodesk Fusion 360 on Linux
Autodesk Fusion 360 is a cloud-based 3D modeling, CAD, CAM, CAE, and PCB software platform for product design and manufacturing that offers an affordable, powerful alternative to other well-known solutions on the market.But the problem is that it usually only works on systems that have Windows or macOS installed as the operating system. I'm using a Linux distribution such as openSUSE Tumbleweed and needed a solution to this problem. And so, with this nice tool, we no longer need two operating systems for Fusion 360 if you or I want to create an awesome project in the future. -
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Heptagram Problem
A recreational math program solving the heptagram problem
Can you fill in the numbers 1, 2, ..., 14 in the heptagram shown below? Or can you prove or disprove that the analogue problem is not solvable for a pentagram? You find program on this problem, and on the Mandelbroot and Feigenbaum sets. -
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Optimization.jl
Mathematical Optimization in Julia
...Additionally, Optimization.jl takes care of passing problem-specific information to solvers that can leverage it such as the sparsity pattern of the hessian or constraint jacobian and the expression graph. -
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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OR-Tools - Google Optimization Tools
Google's software suite for combinatorial optimization
...This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others. OR-Tools is written in C++, but comes with wrappers for Python, C# and Java. Once you model your problem in your preferred programming language, you can then use any of OR-Tools’ available solvers. OR-Tools is an award-winning project, having won three gold medals in the 2020 MiniZinc Challenge, the international constraint programming competition. -
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dev-sidecar
dev-sidecar Git release
The developer sidecar, named service-sidecar from service-mesh, means an auxiliary sidecar tool (hereinafter referred to as ds) for developers to proxy HTTP requests to some domestic acceleration channels through local proxy. Intelligently resolve the best domain name IP address according to network conditions to obtain the best network speed. Solve the problem that some websites and libraries are inaccessible or slow. It is recommended that if you encounter a slow-opening foreign website, you can first try to add the domain name to the dns settings. Block the website that cannot be opened, and proxy to the accelerated mirror site. With a speed measurement mechanism, when the access fails or times out, it automatically switches to the standby site, making the target service highly available. ... -
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SigNoz
SigNoz is an open-source APM. It helps developers monitor their apps
...Visualise Metrics, Traces and Logs in a single pane of glass. You can see metrics like p99 latency, error rates for your services, external API calls and individual end points. You can find the root cause of the problem by going to the exact traces which are causing the problem and see detailed flamegraphs of individual request traces. Run aggregates on trace data to get business relevant metrics. Filter and query logs, build dashboards and alerts based on attributes in logs. -
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MathModelAgent
An Agent Designed for Mathematical Modeling
MathModelAgent is an AI agent system designed specifically for assisting with mathematical modeling tasks and academic problem solving. The platform automates the process of analyzing mathematical problems, constructing models, generating code for simulations or computations, and producing a complete research-style report. The project uses a multi-agent architecture where different specialized agents handle tasks such as problem interpretation, modeling design, programming implementation, and paper writing. ... -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Convex.jl
A Julia package for disciplined convex programming
...Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This reformulation often involves adding auxiliary variables and is called an "extended formulation", since the original problem has been extended with additional variables. ... -
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SocratiCode
Enterprise-grade (40m+ LOC) codebase intelligence
SocratiCode is an AI-assisted learning tool that applies the Socratic method to programming education, guiding users through problem-solving rather than directly providing answers. It encourages critical thinking by asking structured questions that lead developers toward discovering solutions on their own. The system is designed to improve understanding of programming concepts through iterative reasoning and dialogue. It can be used to practice coding challenges, debug logic, and explore design decisions in a guided manner. ... -
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Tasmota
Alternative firmware for ESP8266 with easy configuration
Alternative firmware for ESP8266 with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Unless your Tasmota powered device exhibits a problem or you need to make use of a feature that is not available in the Tasmota version currently installed on your device, leave your device alone - it works so don't make unnecessary changes! If the release version (i.e., the master branch) exhibits unexpected behaviour for your device and configuration, you should upgrade to the latest development version instead to see if your problem is resolved as some bugs in previous releases or development builds may already have been resolved. ... -
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How-To-Ask-Questions-The-Smart-Way
Correctly propose technical questions and get the answers you want
...The guide is particularly valuable for beginners who are learning how to interact in open-source communities and forums. By improving communication, it increases the likelihood of receiving helpful and accurate responses. Overall, it serves as a foundational resource for effective problem-solving and collaboration in software development. -
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colleague-skill
Transform a cold separation into a warm Skill
colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely integrates with broader agent frameworks, enabling seamless inclusion in multi-agent environments. ... -
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MCM-ICM
Mathematical Contest resources
MCM-ICM is a curated archive of Outstanding Winner (“O-奖/特等奖”) solution papers from the Mathematical Contest in Modeling and the Interdisciplinary Contest in Modeling, spanning the early 2000s through recent years. The repository is organized by year, with per-year folders that collect the top-ranked reports and, in later years, additional materials such as problem statements or problem notes when available. It has evolved from a single-maintainer project into a collaborative effort, with different contributors stewarding successive year ranges so the collection stays current. The contents skew toward MATLAB and LaTeX, reflecting the tools most winning teams use to build models and typeset their reports; you’ll typically see complete write-ups alongside code that implements optimization, simulation, statistical analysis, or other modeling pipelines. -
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Anthropic's Original Performance
Anthropic's original performance take-home, now open for you to try
...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. -
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Apisauce
Axios + standardized errors + request/response transforms
...The promise is always resolved with a response object. Even if there was a problem with the request! This is one of the goals of this library. It ensures sane calling code without having to handle .catch and has 2 separate flows. -
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Python-programming-exercises
100+ Python challenging programming exercises
Python-programming-exercises is an educational repository containing more than 100 Python programming challenges. It is designed to help learners practice problem solving through short exercises rather than full applications. The exercises cover fundamentals such as strings, numbers, loops, lists, dictionaries, functions, regular expressions, file handling, classes, generators, and algorithmic thinking. Many problems include both a prompt and a suggested solution, making the repository useful for self-study and interview-style practice. ... -
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Pinta
Simple GTK# Paint Program
...Don't be afraid to experiment, Pinta tracks your full history so you can always undo. Use layers to help separate and group elements of your image for easy editing. Like docked windows? No problem. Floating windows? No problem. You can even mix and match. Original Pinta code is licensed under the MIT License, see license-mit.txt for the MIT License. Code from Paint.Net 3.36 is used under the MIT License and retains the original headers on source files. -
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GLM-5.1
GLM-5: From Vibe Coding to Agentic Engineering
...Built as the successor to GLM-5, the model significantly improves performance in software engineering benchmarks, repository generation, and real-world terminal-based workflows. GLM-5.1 is designed to remain effective over extended problem-solving sessions, allowing it to iteratively refine strategies, analyze failures, and sustain productivity across hundreds of reasoning cycles and tool calls. The model leverages large-scale pretraining, reinforcement learning infrastructure, and sparse attention mechanisms to improve efficiency while maintaining strong long-context understanding. ... -
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pytudes
Python programs, usually short, of considerable difficulty
...The repository includes readable solutions, experiments, notebooks, and scripts that cover algorithms, puzzles, probability, search, language processing, simulation, and mathematical reasoning. It is useful for programmers who want to study elegant Python code while learning how experienced developers approach problem solving. Many examples emphasize clarity and compactness rather than framework-heavy engineering. pytudes is best understood as a learning library, a coding style reference, and a set of practical programming studies. -
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Coluna.jl
Branch-and-Price-and-Cut in Julia
Coluna is a branch-and-price-and-cut framework written in Julia. You write an original MIP that models your problem using the JuMP modeling language and our specific extension BlockDecomposition offers a syntax to specify the problem decomposition. Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm. -
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Envoy
Cloud-native high-performance edge/middle/service proxy
...With Envoy, visualizing problem areas becomes a lot easier thanks to consistent observability. It also helps with overall performance tuning, and easily adding substrate features in one place. -
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LeetCode Master
About "Code Thoughts" LeetCode Practice Guide: 200 classic questions
...The project is continuously updated and widely used by learners as both a reference and a roadmap to progress from beginner to advanced LeetCode practice. With its thorough coverage and educational style, leetcode-master helps programmers build strong problem-solving skills and confidence for competitive programming. -
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Scany
Library for scanning data from a database into Go structs and more
Go favors simplicity, and it's pretty common to work with a database via driver directly without any ORM. It provides great control and efficiency in your queries, but here is a problem: you need to manually iterate over database rows and scan data from all columns into a corresponding destination. It can be error-prone verbose and just tedious. scany aims to solve this problem. It allows developers to scan complex data from a database into Go structs and other composite types with just one function call and doesn't bother with row iteration.
