climate-change-data
awesome-conformal-prediction
climate-change-data | awesome-conformal-prediction | |
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2 | 6 | |
537 | 3,427 | |
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0.6 | 9.5 | |
5 months ago | 7 days ago | |
- | Creative Commons Zero v1.0 Universal |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
climate-change-data
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5 Ways to Celebrate Earth Day as a Developer πππ
A couple of sources for climate-related open data is OpenClimateData.net which is a curated list of sources for open emissions and climate agreements data that are made public by various NGOs and the UN. Another great source for open data is this GitHub repo by Dr. Kasia Kulma, as per her bio a data scientist focused on using data for good. The repo is extensive and not only does it offer open data, but many APIs and open source projects as well. Check out the repoβs README to see the long list of links.
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Honey bees at risk for colony collapse from longer, warmer fall seasons
Are you denying human caused climate change because you don't think there's enough data to support it? You believe the data supporting climate change theories only dates from 1979? Well, great news, I have lots of reading that will quickly get you up to date and help you understand that climate change isn't demonstrated only through satellite models!
In the IPCC Sixth Assessment Report introduction, you can see the various methodologies used to demonstrate the effects of human-caused climate change: https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-1/#1.3
For example, we've been taking thermometer and barometer observations at Earth's surface since the 1600s. By the 1800s this was widely distributed through naval weather logs. For atmospheric readings, we've been getting those since the 40's, not 70s, because that's when we invented weather balloons :) but we have even further back information, through the field of Paleoclimate, where we do things like measuring C02 concentration of bubbles in polar ice sheets, dating back as much as 800,000 years ago. We can also use tree rings (hundreds of years, or thousands if fossilized), "corals, stalactites and stalagmites, dust sediments, fossil pollen, peat, lake sediment, and marine sediment" to measure climate change over millenia, no need for satellites!
Want to play with all the data on your own? https://github.com/KKulma/climate-change-data Her's a curated list of all sorts of data you can play with. https://openclimatedata.net/ Here's some jupyter notebooks!
What data is missing that you think it's "not enough?"
awesome-conformal-prediction
- Dive Deep into Conformal Prediction with This Ultimate Resource Compilation
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Forecasts need to have error bars
Let me suggest a solution https://github.com/valeman/awesome-conformal-prediction
- A professionally curated list of Conformal Prediction videos, tutorials, & books
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[P] Slice Finder: A framework for discovering explainable, anomalous data subsets
Nice, thanks for sharing! The hole Problem with pointpredictions ist how to measure uncertainty. Check out conformal predictions e.g. awesome conformal predictions https://github.com/valeman/awesome-conformal-prediction and https://mapie.readthedocs.io/en/latest/index.html
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[D]What are some "important" problems in machine learning/AI?
Conformal prediction is the best framework that can deal with uncertainty quantification for most of ML problems. https://github.com/valeman/awesome-conformal-prediction
- awesome-conformal-prediction: A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.
What are some alternatives?
Machine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
ds-cheatsheets - List of Data Science Cheatsheets to rule the world
datascience - Curated list of Python resources for data science.
awesome-python-data-science - Probably the best curated list of data science software in Python.