Search Results for "competition"
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Showing 20 open source projects for "competition"
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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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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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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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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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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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mAP
Evaluates the performance of your neural net for object recognition
In practice, a higher mAP value indicates a better performance of your neural net, given your ground truth and set of classes. The performance of your neural net will be judged using the mAP criteria defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both give the same results). First, your neural net detection-results are sorted by decreasing confidence and are assigned to ground-truth objects. We have "a match" when they share the same label and an IoU >= 0.5 (Intersection over Union greater than 50%). ... -
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...General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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Quiz Schedule Generator
Takes a list of teams and creates a random competition schedule.
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Stochastic Rule Builder (SRB)
Modeling framework for capturing positional and temporal dynamics
...There is growing evidence that transcriptional regulation is the complex behavior that emerges not solely from the individual components, but rather from their collective behavior, including competition and cooperation. Our framework describes individual regulatory components using generic action oriented descriptions of their biochemical interactions with a DNA sequence. All the possible actions are based on the current state of factors bound to the DNA. We developed a rule builder to automatically generate the complete set of biochemical interaction rules for any given DNA sequence. ... -
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XCSoar
... the open-source glide computer
XCSoar is a tactical glide computer for Android, Linux, macOS, and Windows. -
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Software for simple competition robots. Includes Host (linux) and Microcontroller (AVR) Software. Robust and affordable electronics designs are also included.
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Written in C++, IFI-picloader is a US First Competition Linux port for Innovation First Inc. Robot Controller programmer using a pic 18F8520. It writes MCC18 compiled hex files to PIC and allows users to program under *nix based operating systems.
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Gumpire is designed to be used as an educational aid in a programming class. It will allow students to program game clients that can participate in a competition without needing to write a complicated interface to a server.
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The RoboCup competition is an international event in which teams of autonomous robots play soccer against one another. This project provides resources for the RoboCup F180, or small-sized league. It also provides a mechanism through which teams can c
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ME is a multiplayer, web-based game of space exploration and economic competition. It is a game of strategy, role-playing, combat, and diplomacy. Continues the development of ME originally by Bryan Brunton. Try the game at http://advancedpowers.com/
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Merchant Empires is a multiplayer, web-based game of space exploration and economic competition. It is a game of strategy, role-playing, combat, and diplomacy. Merchant Empires is loosely based on both Trade Wars and Space Merchant.
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ActionShooter will be a program for calculating shooting competition results for action shooting sports such as IPSC. Primary target platform is GNU/Linux.
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