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- GitHub - mikeroyal/Photogrammetry-Guide: Photogrammetry Guide. Learn all about the process of obtaining measurements and 3D models from photos. Creating topographic maps, meshes, or point clouds based on the real-world. https://github.com/mikeroyal/Photogrammetry-Guide 43 comments
- GitHub - geru-scotland/pylib-atlas: A curated list with useful Python programming tools and libraries, as well as other noteworthy resources. https://github.com/geru-scotland/pylib-atlas 18 comments
- GitHub - mikeroyal/Unreal-Engine-Guide: Unreal Engine 5 Guide. Learn to develop games for Windows, Linux, macOS, iOS, Android, Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch. https://github.com/mikeroyal/Unreal-Engine-Guide#linux-development 12 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- GitHub - benedekrozemberczki/awesome-gradient-boosting-papers: A curated list of gradient boosting research papers with implementations. https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers 5 comments
- How to use gradient boosted trees in Python - The Data Scientist https://thedatascientist.com/gradient-boosted-trees-python/ 3 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 - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - mikeroyal/Game-Console-Dev-Guide: Game Console Dev Guide. Learn to develop games for Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch, Steam Deck, and Apple Silicon. https://github.com/mikeroyal/Game-Console-Dev-Guide 1 comment
- Massively Parallel Hyperparameter Optimization on AWS Lambda | by Michael Hart | Medium https://medium.com/@hichaelmart/massively-parallel-hyperparameter-optimization-on-aws-lambda-a7a24b1970c8 1 comment
- GitHub - mikeroyal/VSCode-Guide: VSCode Guide https://github.com/mikeroyal/VSCode-Guide 1 comment
- What Does It Take To Be a Tech Giant? | Miguel Rochefort https://miguelrochefort.com/blog/tech-giant/ 0 comments
- Intro to Predictive Maintenance on NASA turbofan engine dataset using Machine Learning - 4CDA https://4cda.com/intro-to-predictive-maintenance-on-nasa-turbofan-engine-dataset-using-machine-learning/ 0 comments
- The Unreasonable Ineffectiveness of Deep Learning on Tabular Data | by Paul Tune | Towards Data Science https://towardsdatascience.com/the-unreasonable-ineffectiveness-of-deep-learning-on-tabular-data-fd784ea29c33 0 comments
- How and why we built a custom gradient boosted-tree package | by Or Cohen | Lyft Engineering https://eng.lyft.com/how-and-why-to-build-your-own-gradient-boosted-tree-package-d5157cd77298?gi=cb9fec5efbc8 0 comments
- How and why we built a custom gradient boosted-tree package | by Or Cohen | Lyft Engineering https://eng.lyft.com/how-and-why-to-build-your-own-gradient-boosted-tree-package-d5157cd77298?gi=d3e6d3a3cd93 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- Fast Gradient Boosting with CatBoost | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/fast-gradient-boosting-with-catboost-38779b0d5d9a?source=activity---post_recommended_rollup 0 comments
- Introduction to gradient boosting on decision trees with Catboost | by Daniel Chepenko | Towards Data Science https://towardsdatascience.com/introduction-to-gradient-boosting-on-decision-trees-with-catboost-d511a9ccbd14 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
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