787 skills found · Page 11 of 27
jrobchin / AI RoyaleRedefining competitive coding and education with real-time bot battle competitions. (Winner at Hack Western 5)
aqfaridi / Code Online JudgeCodeOJ is a judge system used to test of programs in coding contests,Recruiters can conduct Hiring Challenges and for intra-inter college coding competitions
uw-advanced-robotics / TaprootRobot independent control/embedded systems code generation for the RoboMaster robotics competition. Read-only mirror of https://gitlab.com/aruw/controls/taproot.
mikekestemont / DeepScriptCode for the DeepScript Submission to ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script
zangzelin / 2018 Graduate Mathematical Modeling Competition BThis project is the problem solving code for the Question B of the graduate mathematics modeling competition. Modeling of Fibre Channel and Fiber Network Value
zongmingchua / Cafa5Code for generating model and predictions for CAFA5 competition 2023 (4th place solution)
Ahmed-Habashy / Dataset BCI Competition Iv 2bThis is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.
aguschin / Kagglesome useful code for kaggle competitions :)
macaodha / Inat Comp 2017CNN training code for iNaturalist 2017 image classification competition
VEX-Robotics / VAIC 23 24Source code and documentation for the VEX AI Competition 2023/2024 season
UWRobotRacing / RobotRacing2018This repository contains the current competition code (2018). This code will be used for the IARRC 2018. This code currently handles LIDAR mapping, trajectory rollout, PID speed control, lane detection and traffic light detection.
eneriz-daniel / MIBCI QCNNsThis repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
AlvinAi96 / M6 Dnn DaeThe 4th code of M6 Financial Forecasting Competition (Team: OPPO XZ Lab)
RUCAIBox / ICPC EvalA new benchmark of 118 ICPC problems for evaluating LLM reasoning in competitive coding, featuring realistic ICPC competition scenario, robust local evaluation, and a iterative repair metrics Refine@K
utk-rsh / Dirty LaundryContains most of the code which is written during competitive programming competitions and practice. Since time is of essence in competitions, much of the code is dirty and some of it can be a refactoring nightmare. However, this code isn't meant to be reused and hence left as such.
monetjoe / Ustc Software2013 WikiThis project contains the source code of the remade project wiki for the USTC Software team in the iGEM 2013 competition, which is used to present the team’s project background, design ideas, experimental workflow, research results, and team information.|本项目为 iGEM 2013 竞赛中 USTC Software 团队项目 Wiki 的重制版源代码，用于展示团队的项目背景、设计思路、实验流程、研究成果及团队信息。
Hossamomar / EM070 New FPGA Family For CNN Architectures High Speed Soft Neuron DesignWho doesn’t dream of a new FPGA family that can provide embedded hard neurons in its silicon architecture fabric instead of the conventional DSP and multiplier blocks? The optimized hard neuron design will allow all the software and hardware designers to create or test different deep learning network architectures, especially the convolutional neural networks (CNN), more easily and faster in comparing to any previous FPGA family in the market nowadays. The revolutionary idea about this project is to open the gate of creativity for a precise-tailored new generation of FPGA families that can solve the problems of wasting logic resources and/or unneeded buses width as in the conventional DSP blocks nowadays. The project focusing on the anchor point of the any deep learning architecture, which is to design an optimized high-speed neuron block which should replace the conventional DSP blocks to avoid the drawbacks that designers face while trying to fit the CNN architecture design to it. The design of the proposed neuron also takes the parallelism operation concept as it’s primary keystone, beside the minimization of logic elements usage to construct the proposed neuron cell. The targeted neuron design resource usage is not to exceeds 500 ALM and the expected maximum operating frequency of 834.03 MHz for each neuron. In this project, ultra-fast, adaptive, and parallel modules are designed as soft blocks using VHDL code such as parallel Multipliers-Accumulators (MACs), RELU activation function that will contribute to open a new horizon for all the FPGA designers to build their own Convolutional Neural Networks (CNN). We couldn’t stop imagining INTEL ALTERA to lead the market by converting the proposed designed CNN block and to be a part of their new FPGA architecture fabrics in a separated new Logic Family so soon. The users of such proposed CNN blocks will be amazed from the high-speed operation per seconds that it can provide to them while they are trying to design their own CNN architectures. For instance, and according to the first coding trial, the initial speed of just one MAC unit can reach 3.5 Giga Operations per Second (GOPS) and has the ability to multiply up to 4 different inputs beside a common weight value, which will lead to a revolution in the FPGA capabilities for adopting the era of deep learning algorithms especially if we take in our consideration that also the blocks can work in parallel mode which can lead to increasing the data throughput of the proposed project to about 16 Tera Operations per Second (TOPS). Finally, we believe that this proposed CNN block for FPGA is just the first step that will leave no areas for competitions with the conventional CPUs and GPUs due to the massive speed that it can provide and its flexible scalability that it can be achieved from the parallelism concept of operation of such FPGA-based CNN blocks.
zygmuntz / Kaggle AvitoCode for the Avito competition
Ivanopolo / Avazu CodeCode used for Avazu Kaggle Competition (Logistic Regresson, GBM, MatrixNet)
faangbait / Phoenix Os BitburnerCustom Operating System for Bitburner (Coding Competition)
