- Gradient boosting research papers from the last 25 years https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers 4 comments datascience
Linking pages
- GitHub - bayandin/awesome-awesomeness: A curated list of awesome awesomeness https://github.com/bayandin/awesome-awesomeness 58 comments
- GitHub - owainlewis/awesome-artificial-intelligence: A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. https://github.com/owainlewis/awesome-artificial-intelligence 35 comments
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 24 comments
- GitHub - emijrp/awesome-awesome: A curated list of awesome curated lists of many topics. https://github.com/emijrp/awesome-awesome 7 comments
- GitHub - benedekrozemberczki/awesome-decision-tree-papers: A collection of research papers on decision, classification and regression trees with implementations. https://github.com/benedekrozemberczki/awesome-decision-tree-papers 3 comments
- GitHub - benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations. https://github.com/benedekrozemberczki/awesome-graph-classification 3 comments
- GitHub - benedekrozemberczki/awesome-fraud-detection-papers: A curated list of data mining papers about fraud detection. https://github.com/benedekrozemberczki/awesome-fraud-detection-papers 2 comments
- GitHub - benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations. https://github.com/benedekrozemberczki/awesome-graph-embedding 1 comment
- GitHub - benedekrozemberczki/awesome-community-detection: A curated list of community detection research papers with implementations. https://github.com/benedekrozemberczki/AWEsome-COMmunity-DETection/ 1 comment
- GitHub - benedekrozemberczki/awesome-monte-carlo-tree-search-papers: A curated list of Monte Carlo tree search papers with implementations. https://github.com/benedekrozemberczki/Awesome-Monte-Carlo-Tree-Search-PaPers 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - newTendermint/awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness. https://github.com/onurakpolat/awesome-bigdata 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/okulbilisim/awesome-datascience 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/bulutyazilim/awesome-datascience 0 comments
- GitHub - febinsathar/goodreads: goodreads https://github.com/febinsathar/goodreads 0 comments
Linked pages
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 68 comments
- CatBoost - open-source gradient boosting library https://catboost.ai/ 13 comments
- ICLR 2023 https://iclr.cc 10 comments
- GitHub - microsoft/recommenders: Best Practices on Recommendation Systems https://github.com/Microsoft/Recommenders 8 comments
- https://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf 4 comments
- GitHub - benedekrozemberczki/awesome-decision-tree-papers: A collection of research papers on decision, classification and regression trees with implementations. https://github.com/benedekrozemberczki/awesome-decision-tree-papers 3 comments
- GitHub - benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations. https://github.com/benedekrozemberczki/awesome-graph-classification 3 comments
- GitHub - benedekrozemberczki/awesome-fraud-detection-papers: A curated list of data mining papers about fraud detection. https://github.com/benedekrozemberczki/awesome-fraud-detection-papers 2 comments
- GitHub - benedekrozemberczki/awesome-community-detection: A curated list of community detection research papers with implementations. https://github.com/benedekrozemberczki/AWEsome-COMmunity-DETection/ 1 comment
- GitHub - benedekrozemberczki/awesome-monte-carlo-tree-search-papers: A curated list of Monte Carlo tree search papers with implementations. https://github.com/benedekrozemberczki/Awesome-Monte-Carlo-Tree-Search-PaPers 0 comments
- [1903.08708] Accelerating Gradient Boosting Machine https://arxiv.org/abs/1903.08708 0 comments
- GitHub - dmlc/xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow https://github.com/dmlc/xgboost 0 comments
- CVPR2019 http://cvpr2019.thecvf.com/ 0 comments
- [1701.02386] AdaGAN: Boosting Generative Models https://arxiv.org/abs/1701.02386 0 comments
- GitHub - catboost/catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. https://github.com/catboost/catboost 0 comments