Linking pages
- Leaving Apple Inc. | Max Woolf's Blog http://minimaxir.com/2017/05/leaving-apple/ 93 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
- GitHub - fffaraz/awesome-cpp: A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. https://github.com/fffaraz/awesome-cpp 38 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- Yandex open sources CatBoost, a gradient boosting machine learning library | TechCrunch https://techcrunch.com/2017/07/18/yandex-open-sources-catboost-a-gradient-boosting-machine-learning-librar/?ncid=rss 28 comments
- Ruby ML for Python Coders https://ankane.org/ruby-ml-for-python-coders 11 comments
- GitHub - microsoft/hummingbird: Hummingbird compiles trained ML models into tensor computation for faster inference. https://github.com/microsoft/hummingbird/ 10 comments
- Back to the Future with Adaptive Machine Learning https://www.appliedexploration.com/p/back-to-the-future-with-time-series 10 comments
- GitHub - johannespetrat/OptML: Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models. https://github.com/johannespetrat/OptML 9 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
- Automated Machine Learning — A Paradigm Shift That Accelerates Data Scientist Productivity @ Airbnb | by Hamel Husain | The Airbnb Tech Blog | Medium https://medium.com/airbnb-engineering/automated-machine-learning-a-paradigm-shift-that-accelerates-data-scientist-productivity-airbnb-f1f8a10d61f8 5 comments
- GitHub - tensorchord/Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers https://github.com/tensorchord/Awesome-LLMOps 5 comments
- GitHub - xplainable/xplainable: Real-time explainable machine learning for business optimisation https://github.com/xplainable/xplainable 4 comments
- GitHub - ddxgz/XGBoost.swift: A Swift interface for XGBoost https://github.com/ddxgz/XGBoost.swift 3 comments
- GitHub - Xtra-Computing/thundergbm: ThunderGBM: Fast GBDTs and Random Forests on GPUs https://github.com/Xtra-Computing/thundergbm 2 comments
- Custom Loss functions for Deep Learning: Predicting Home Values with Keras for R | by Ben Weber | Towards Data Science https://towardsdatascience.com/custom-loss-functions-for-deep-learning-predicting-home-values-with-keras-for-r-532c9e098d1f 2 comments
- GitHub - daturkel/learning-papers: Landmark Papers in Machine Learning https://github.com/daturkel/learning-papers 1 comment
- 3 Million Instacart Orders, Open Sourced | by Jeremy Stanley | tech-at-instacart https://tech.instacart.com/3-million-instacart-orders-open-sourced-d40d29ead6f2 1 comment
- Price your car with data | Schibsted http://bytes.schibsted.com/price-car-data/ 1 comment