80 skills found · Page 1 of 3
Jannchie / Historical Ranking Data Visualization Based On D3.js[Deprecated!] This is a data visualization project that converts historical data rankings into dynamic bar charts.
HaSai666 / Rec Pangurec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
PrisonTeam / PrisonThe home of the Prison project, a Minecraft plugin to provide mining and ranking gameplay experience.
p768lwy3 / TorecsysToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
booktree / BooktreeUPDATE: I've decided that this project is not useful enough, Git for local editing is not the bottleneck. We must focus on ranking algorithms instead: https://github.com/cirosantilli/ourbigbook
Aryia-Behroziuan / Other SourcesAsada, M.; Hosoda, K.; Kuniyoshi, Y.; Ishiguro, H.; Inui, T.; Yoshikawa, Y.; Ogino, M.; Yoshida, C. (2009). "Cognitive developmental robotics: a survey". IEEE Transactions on Autonomous Mental Development. 1 (1): 12–34. doi:10.1109/tamd.2009.2021702. S2CID 10168773. "ACM Computing Classification System: Artificial intelligence". ACM. 1998. Archived from the original on 12 October 2007. Retrieved 30 August 2007. Goodman, Joanna (2016). Robots in Law: How Artificial Intelligence is Transforming Legal Services (1st ed.). Ark Group. ISBN 978-1-78358-264-8. Archived from the original on 8 November 2016. Retrieved 7 November 2016. Albus, J. S. (2002). "4-D/RCS: A Reference Model Architecture for Intelligent Unmanned Ground Vehicles" (PDF). In Gerhart, G.; Gunderson, R.; Shoemaker, C. (eds.). Proceedings of the SPIE AeroSense Session on Unmanned Ground Vehicle Technology. Unmanned Ground Vehicle Technology IV. 3693. pp. 11–20. Bibcode:2002SPIE.4715..303A. 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If computers experience life through their own senses, they cease to be purely a means to an end determined by their usefulness to... humans. Per GNW [the Global Neuronal Workspace theory], they turn from mere objects into subjects... with a point of view.... Once computers' cognitive abilities rival those of humanity, their impulse to push for legal and political rights will become irresistible – the right not to be deleted, not to have their memories wiped clean, not to suffer pain and degradation. The alternative, embodied by IIT [Integrated Information Theory], is that computers will remain only supersophisticated machinery, ghostlike empty shells, devoid of what we value most: the feeling of life itself." (p. 49.) Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 58–63. A stumbling block to AI has been an incapacity for reliable disambiguation. 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Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)
Concinnity-Risks / LogisticalBudgetThis project contains code for comparing or ranking APT capabilities and operational capacity. The metrics are meant to quantify, rank, order, compare, or visualise quickly threat actors demonstrated operational capacities. In other words, it is meant to answer questions like 'Which APT produces the most binaries yearly', or 'which apt uses the most daomains'.
abhi1345 / Deep Q RankA deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control
aneagoie / Smart Brain Boost Lambdalambda in our final project for ranking badge system
ayelhadine / Resume Parser Shortlisting ProjectThis is an end to end machine learning project served on Flask for parsing and ranking candidates based on similarity scores between resumes and job description.
benwasser / RepoRankerRepoRanker lets you crowdsource the star rankings of your projects on GitHub
obaranek / ZessionizerA Zellij plugin for managing project sessions with VIM-like keybindings, fuzzy search, and frecency-based ranking
mahdiehmortazavi / LeetCode LeaderBoard APIThis project offers an API to fetch and display LeetCode leaderboard data, enabling users to track their ranking, performance, and statistics. It is ideal for developers who want to integrate LeetCode stats into their applications or monitor their progress programmatically.
dxc-technology / OSSRankA project for ranking and categorizing OSS projects
ssea-lab / PROMISEA dataset used for ranking-oriented cross-project defect prediction
prankshaw / Beware Web ScraperWeb Scraping project including; C projects scraper from GitHub , ICC rankings scraper, YouTube Trending Scrapper, LinkedIn Profile Scraper, Wikipedia Image Scraper
yanghui-wang / Citation NetworkThis project creates a citation network from a data set of published paper and an importance ranking of the books. I used the Citation-network V1 dataset from https://aminer.org/citation for this project. The project in written in Python 2.7 and particular attention is paid to PageRank and virtualization of the results.
tomek199 / Elo RatingApplication to manage users ranking based on Elo rating algorithm. Project is deprecated - please take a look for replacement: https://github.com/tomek199/RankMe
Mo7ammadAbuSafat / SearchEngine FullStackThe project is a custom search engine that allows users to upload a dataset of strings, build an inverted index with various options, and perform efficient searches based on user input with scoring and ranking.
yangtiming / Underwater Industrial Application Yolov5m6This project wins the intelligent algorithm contest finalist award and stands out from over 2000teams in China Underwater Robot Professional Contest, entering the final of China Underwater Robot Professional Contest and ranking 13 out of 31 teams in finals.
