Search Results for "competition"
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Showing 131 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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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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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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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. -
Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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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... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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Code Climate CLI
Code Climate CLI
...Align on business priorities with improved transparency across every level of your organization, and ensure optimal resource allocation for your engineering teams. Deliver high-quality code quickly and consistently to achieve true Continuous Delivery and out-innovate your competition. Improve your team’s processes and engineering skills to create a high-performance culture, boost pipeline efficiency, and increase employee engagement. code climate is a command-line interface for the Code Climate analysis platform. -
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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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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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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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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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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. -
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A concise javascript chess engine, first written for the 5k web competition. It plays at the level of a lazy amateur, so is a good match for most opponents.
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MADDPG
Code for the MADDPG algorithm from a paper
...The code is built on top of TensorFlow and integrates with the Multiagent Particle Environments (MPE) for benchmarking. Researchers can use it to reproduce the experiments presented in the paper, which demonstrate how agents learn behaviors such as coordination, competition, and communication. Although archived, MADDPG remains a widely cited baseline in multi-agent reinforcement learning research and has inspired further algorithmic developments. -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured... -
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