Economics Literature Search: https://paulgp.com/econlit-pipeline/index.html. This tool lets you search the full text of papers from the American Economic Review, American Economic Journal series, and over 30,000 NBER working papers. It turns out that tracking how empirical methods spread through economics is actually pretty important — but also kind of a pain to do manually.
Conferences and Workshops in Energy Economics: European and other international conferences where CEPE researchers participate, present and discuss their latest research with colleagues from around the world. https://cepe.ethz.ch/news-and-events/conferences-and-workshops.html
Python tools for forest inventory analysis: https://fiatools.org/: A unified ecosystem for working with USDA Forest Service FIA data—from raw survey plots to growth projections to spatial analysis. Open source Python tools for forest inventory analysis. Built for researchers, foresters, and land managers working with USDA Forest Service data.
Precise AI Scientific Workfows For All Tasks: Find Papers and Evidence from a database of 300 million+ papers, Draft citation backed literature reviews and case studies in one tab (As claimed by the website): https://app.answerthis.io/ask-answerthis
Open source machine learning courses:
- Introduction to Machine Learning by MIT: https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/course/
- MIT Open Leaning Library: https://openlearning.mit.edu/Open-Learning-Library
- ML for Beginners by Microsoft: https://github.com/microsoft/ML-For-Beginners/tree/main/1-Introduction/1-intro-to-ML
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