Search Results for "competition"
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Showing 163 open source projects for "competition"
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MathModel
Mathematical Modeling for Graduate Students, Mathematical Modeling
MathModel is a repository dedicated to collecting and organizing resources around mathematical modeling, especially for university students preparing for modeling competitions (e.g. undergraduate and graduate levels). The content spans exemplary competition papers, algorithmic solutions, LaTeX templates, presentation slides, MATLAB tutorials, and mind maps of modeling approaches. It acts as a centralized archive where learners can access high-quality past solutions as references, borrow formatting for their own reports, and study algorithmic strategies that performed well in contests. ... -
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DeepSeek V2
Strong, Economical, and Efficient Mixture-of-Experts Language Model
...The V2 model is expected to support more advanced features like better context window handling, more efficient inference, better performance on challenging tasks, and stronger alignment with human feedback. Because DeepSeek is pushing open-weight competition, this V2 iteration is meant to solidify its position in benchmark rankings and in developer adoption. The code in the repository may include description files, support for tool use or plug-in architectures, and artifacts showing fine-tuning or prompt templates. -
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AG Grid
The best JavaScript Data Table for building enterprise applications
...AG Grid Enterprise comes with dedicated support and more enterprise-style features. AG Grid gives for free what other grids charge for, then provides AG Grid Enterprise where it goes above and beyond the competition. -
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OR-Tools - Google Optimization Tools
Google's software suite for combinatorial optimization
...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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LiteMultiAgent
The Library for LLM-based multi-agent applications
LiteMultiAgent is a lightweight and extensible multi-agent reinforcement learning (MARL) platform designed for rapid experimentation. It allows researchers to design and test coordination, competition, and collaboration scenarios in simulated environments. -
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Gatus
Automated developer-oriented status page
...While checking the response status may be enough for some use cases, Gatus goes much further and allows you to add conditions on the response time, the response body, and even the IP address. Unlike the competition, Gatus is completely open-source. If there's a feature you want to see, it's as simple as creating an issue on the public repository, or implementing it yourself! Gatus supports alerting on platforms like Slack, PagerDuty, Teams, Twilio, Discord, and many more. If the built-in alerting providers aren't enough for you, you can even create your own! ... -
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Wasmer
The leading WebAssembly Runtime supporting WASIX, WASI and Emscripten
...Faster, affordable & indefinitely scalable. All languages are fully containerized & collaborative. Plug your own backend, compiler, or runner. Run apps at close to native speed and outperform the competition. -
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Pymunk
Pymunk is a easy-to-use pythonic 2d physics library
...The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development. Pymunk has been used with success in many projects, big and small. For example: 3 Pyweek game competition winners, dozens of published scientific papers, and even in a self-driving car simulation. -
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Cucumber JVM
Cucumber for the JVM
Cucumber-JVM is a pure Java implementation of Cucumber. You can run it with the tool of your choice. Cucumber-JVM also integrates with all the popular Dependency Injection containers. It’s simple. Whether open source or commercial, our collaboration tools will boost your engineering team's performance by employing Behavior-Driven Development (BDD). And with our world-class training, take it to places it’s never been. Validate executable specifications against your code on any modern... -
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Kubetail
Bash script to tail Kubernetes logs from multiple pods
...This is the same as running "kubectl logs -f " but for multiple pods. Just download the kubetail file (or any of the releases) and you're good to go. Note that you may need to run compinit for zsh to pick-up the changes in the competition after having upgraded from the non-abbreviated installation. If you're using a ZSH plugin manager, you can install kubetail as a plugin. kubetail itself doesn't have filtering or highlighting capabilities built in. If you're on MacOSX I recommend using iTerm2 which allows for continuous highlighting of search terms, good scrolling capabilities, and multitab arrangements. ... -
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DeepSeekMath-V2
Towards self-verifiable mathematical reasoning
DeepSeekMath-V2 is a large-scale open-source AI model designed specifically for advanced mathematical reasoning, theorem proving, and rigorous proof verification. It’s built by DeepSeek as a successor to their earlier math-specialist models. Unlike general-purpose LLMs that might generate plausible-looking math but sometimes hallucinate or mishandle rigorous logic, Math-V2 is engineered to not only generate solutions but also self-verify them, meaning it examines the derivations, checks... -
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Math Model
Code, resources, and templates for mathematical modeling
Math_Model is a repository collecting resources, code, and algorithm templates for mathematical modeling and competition (e.g. Chinese modeling contests, US undergraduate modeling competitions). It includes LaTeX templates for writing solutions, records of past contest problems and winning solutions, algorithm implementations in MATLAB / M scripts for optimization, intelligent algorithms, numerical methods, and model frameworks. In effect, it is a curated library of modeling code, papers, templates, and algorithm summaries tailored to competition preparation. ... -
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The Free Unix Spectrum Emulator (Fuse): an emulator of the 1980s home computer and various clones for Unix, Mac OS X and Windows.
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Marvel Rivals Tracker
Marvel Rivals Stats, Hero Tracker, Game Analytics, Match History, K/D/
...Whether you're playing casually or competitively, this tool provides detailed insights on kills, deaths, assists, accuracy, and more. Featuring a sleek, Marvel-inspired UI, it supports multiple game modes like Quick Mode, Ranked, and Arcade. Stay ahead of the competition with hero and map analytics, win/loss tracking, and custom stat reports. Marvel Rivals Tracker Download in files. -
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Learn Prompting
This website is a free, open-source guide on prompt engineering
This website is a free, open-source guide on prompt engineering. Contributions are welcome! Harsh criticism is welcome too. We launched the first ever prompt hacking competition designed to enhance AI safety and education by challenging participants to outsmart large language models from May 5th to June 3rd! The competition featured 10 increasingly difficult levels of prompt hacking defenses and the chance to win over $35,000 in prizes. Coding is a great skill to learn alongside prompt engineering. We recommend learning Python, as it is a popular language for AI and machine learning. ... -
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Ascon
Command-line Ascon v1.2 Encryption Tool written in Go
Ascon is a new family of authenticated encryption algorithms, submitted to the CAESAR competition for authenticated ciphers. The Ascon family was designed to be lightweight and easy to implement, even with added countermeasures against side-channel attacks. This project is licensed under the ISC License. Copyright © 2020-2022 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/ascon Visit: http://albanese.atwebpages.com -
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ConvNeXt V2
Code release for ConvNeXt V2 model
...The V2 version introduces a fully convolutional masked autoencoder (FCMAE) framework where parts of the image are masked and the network reconstructs the missing content, marrying convolutional inductive bias with powerful pretraining. A key innovation is a new Global Response Normalization (GRN) layer added to the ConvNeXt backbone, which enhances feature competition across channels. The result is a convnet that competes strongly with transformer architectures on recognition benchmarks while being efficient and hardware-friendly. The repository provides official PyTorch implementations for multiple model sizes (Atto, Femto, Pico, up through Huge), conversion from JAX weights, code for pretraining/fine-tuning, and pretrained checkpoints. ... -
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Grain128AEAD
A lightweight AEAD stream cipher submitted to the CAESAR competition
Grain is a stream cipher submitted to eSTREAM in 2004 by Martin Hell, Thomas Johansson and Willi Meier. It has been selected for the final eSTREAM portfolio for Profile 2 by the eSTREAM project. Grain is designed primarily for restricted hardware environments. It accepts an 80-bit key and a 64-bit IV. The specifications do not recommended a maximum length of output per (key, iv) pair. A number of potential weaknesses in the cipher have been identified and corrected in Grain 128a which is now... -
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CodeContests
Large dataset of coding contests designed for AI and ML model training
...This dataset played a central role in the development of AlphaCode, DeepMind’s model for solving programming problems at a human-competitive level, as published in Science. CodeContests aggregates problems and human-written solutions from multiple programming competition platforms, including AtCoder, Codeforces, CodeChef, Aizu, and HackerEarth. Each problem includes structured metadata, problem descriptions, paired input/output test cases, and multiple correct and incorrect solutions in various programming languages. The dataset is distributed in Riegeli format using Protocol Buffers, with separate training, validation, and test splits for reproducible machine learning experiments. -
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BCI
BCI: Breast Cancer Immunohistochemical Image Generation
Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix. We have released the trained model on BCI and LLVIP datasets. We host a competition for breast cancer immunohistochemistry image generation on Grand Challenge. Project pix2pix provides a python script to generate pix2pix training data in the form of pairs of images {A,B}, where A and B are two different depictions of the same underlying scene, these can be pairs {HE, IHC}. Then we can learn to translate A(HE images) to B(IHC images). ... -
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DuplicateBridge
A project to automate the production of hands for Duplicate Bridge
Duplicate bridge is a variation of contract bridge where the same set of bridge deals (i.e. the distribution of the 52 cards among the four hands) are played by different competitors, and scoring is based on relative performance. In this way, every hand is played in competition with others playing identical cards, and the element of skill is heightened. This stands in contrast to Bridge played without duplication, where each hand is freshly dealt and where scores may be more affected by chance in the short run. (Wikipedia) It is extremely laborious to produce these sorted hands manually, so this is a multi-phase project to automate the process. ... -
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Robot Financial Advisor
Analyze a public company financials
...The following fundamental indicators are NOT analyzed but you should still examine them before investing in a company: Management Team and Board of Directors, Dividend Payment Track Record, Company Integrity, Industry Changes, Saturation, Competition and Overconfidence NOT A CERTIFIED FINANCIAL ADVISOR! -
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codeforces-go
Solutions to Codeforces by Go
Golang algorithm competition template library. Due to the complexity of algorithm knowledge points, it is necessary to classify the algorithms you have learned and the questions you have done. An algorithm template should cover the following points. Basic introduction to the algorithm (core idea, complexity, etc.) Reference links or book chapters (good material) Template code (can contain some comments, usage instructions) Template supplements (extra codes in common question types, modeling tips, etc.) ... -
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AboutTime
Justifiable Time Management & Accounting Tool
...After awhile, using AboutTime encourages us to do more each day, By encouraging us to do more, AboutTime also allows us to become allot more productive. Over time, most discover that using AboutTime will help us stand head-and-shoulders above the competition.
