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Jun 5, 2020 - Python
Join GitHub (or sign in) to find projects, people, and topics catered to your interests.
Here's what's popular on GitHub today...
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Jun 7, 2020 - JavaScript
Crystal
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Jun 7, 2020 - JavaScript
Capture the Flag
May 06, 2020 - June 12, 2020 • Online
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Jun 7, 2020 - C++
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Jun 7, 2020 - Dockerfile
Pixel Art Tools
Creating pixel art for fun or animated sprites for a game? The digital artist in you will love these apps and tools!
LGTM
Continuous security analysis
LGTM is a code analysis platform for identifying vulnerabilities and preventing them from reaching production.
LGTM automatically runs 1600+ standard analyses contributed by researchers from the Semmle Security Research Team and our customer community, including Microsoft, Google, Uber and Mozilla.
Quickly refine and run custom QL queries to find variants of known issues and prevent them from being re-introduced into your codebase.
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Jun 5, 2020 - Java
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Jun 7, 2020 - Python
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May 29, 2020 - Java
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Jun 7, 2020 - Go
Contributing.md doesn't doesn't appear to contain any actual guidlines, and the link only leads back to the same document: Java/CONTRIBUTING.md.
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I think "outputs [-1]" and "outputs [0]" are equivalent (reversed) in this line of code, but the former (89%) works better than the latter (86%). Why?
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Apr 29, 2020 - Jupyter Notebook
There are some interesting algorithms in simulation from Physics, Chemistry, and Engineering especially regarding Monte Carlo simulation: Heat Bath algorithm, Metro-Police algorithm, Markov Chain Monte Carlo, etc.
Skill Set Challenge!
Hudson & Thames has provided the following skillset challenge to allow potential researchers to gauge if they have the required skil
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Jun 7, 2020 - Python
GuardRails
GuardRails scans new code changes as they occur in your repositories. For pull requests, we will post comments whenever security issues are detected. For branches, you will be able to see reports in your dashboard.

Right now, the integration test use the movie dataset. This is an issue because this dataset is unnessecarily big for testing purpose and thus drastically slows down running the test suite. I suggest we use a smaller dataset (< 100 entries) to improve our CI time.