Search Results for "problem"
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Showing 1714 open source projects for "problem"
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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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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. -
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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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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TeXtidote
Spelling, grammar and style checking on LaTeX documents
...Since LaTeX documents contain special commands and keywords (the so-called "markup") that are not part of the "real" text, you cannot run a grammar checker directly on these files: it cannot tell the difference between markup and text. The other option is to remove all this markup, leaving only the "clear" text; however, when a grammar tool points to a problem at a specific line in this clear text, it becomes hard to retrace that location in the original LaTeX file. TeXtidote solves this problem; it can read your original LaTeX file and perform various sanity checks on it: for example, making sure that every figure is referenced in the text, enforcing the correct capitalization of titles, etc. ... -
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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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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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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. -
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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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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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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. -
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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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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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Computational Thinking
Introduction to computational thinking with Julia
Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. -
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...The structure supports incremental learning, allowing you to test your understanding, compare against expected outcomes, and iterate until styles match the intended result. While solutions exist, the guidance emphasizes problem solving with docs, search, and experimentation before peeking, cultivating independent debugging skills and confidence with CSS.
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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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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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KOOM
KOOM is an OOM killer on mobile platform by Kwai
...With the increasing complexity of mobile terminal business logic and the gradual popularity of scenarios with high memory requirements such as 4K codec and AR magic watch, the OOM problem has become the number one problem in the stability management of the Kuaishou client. In the daily version iteration process, OOM surges occasionally occur, and the online environment is very complicated. There are thousands of AB experiments. Pre-prevention and post-recovery cannot be achieved. Therefore, high-performance online memory monitoring solutions are urgently needed. -
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Yarn
Fast, Reliable, And Secure Dependency Management
...Yarn allows you to use other developers’ solutions to different problems, making it easier for you to develop your software. If you have problems, you can report issues or contribute back, and when the problem is fixed, you can use Yarn to keep it all up to date. -
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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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pua
Your AI has been placed on a PIP. 30 days to show improvement
...The project frames the AI as an underperforming senior engineer under evaluation, introducing a strong motivational and behavioral prompt layer that encourages proactive problem-solving and initiative. Rather than adding new technical capabilities, PUA focuses on shaping how the AI approaches tasks, pushing it toward more assertive, autonomous, and results-driven outputs. It is designed to influence decision-making patterns, encouraging the AI to take ownership of tasks, iterate aggressively, and prioritize delivering meaningful outcomes within constrained timeframes. -
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Xournal++
A handwriting notetaking software with PDF annotation support
Xournal++ (/ˌzɚnl̟ˌplʌsˈplʌs/) is an open-source and cross-platform note-taking software that is fast, flexible, and functional. A modern rewrite and a more feature-rich version of the wonderful Xournal program. Support for pressure-sensitive stylus and drawing tablets (Wacom, Huion, XP-Pen, etc.) Robust and customizable pen, highlighter and eraser tools, allowing you to write how you want to write. Use layers to make complex notes that are still pleasant to work with. Keep track of the... -
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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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