uawardata
images
Our great sponsors
| uawardata | images | |
|---|---|---|
| 3 | 1 | |
| 113 | 175 | |
| - | 0.6% | |
| 0.0 | 5.9 | |
| over 1 year ago | 3 months ago | |
| Jupyter Notebook | Python | |
| - | 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.
uawardata
-
I found an intteractive map locating all Russian military forces. Can anyone verify how up-to-date it is?
They provide dates with their data, but the data only goes up to September. The raw data is also available on Github, if you need that as well: https://github.com/simonhuwiler/uawardata
-
Need a website for monitoring Russian attacks and movement
The data is also hosted on Github: https://github.com/simonhuwiler/uawardata
- According to preliminary information Russian invasion troops are in the pocket near Kherson. They were allowed to give up in 2 days or they will be destroyed.
images
-
Rails Image Helper
On my side project Your Congress, I am using a free GitHub repository, UnitedStates/Images which stores all the photographs of serving Congress members. The images are accessible through an API served from GitHub pages, by images size and member ID. So, the image URL will be configured like so: https://theunitedstates.io/images/congress/[size]/[member_id].jpg.
What are some alternatives?
data - Data and code behind the articles and graphics at FiveThirtyEight
datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning
kuwala - Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
images - Repository for pre-built dev container images published under mcr.microsoft.com/devcontainers