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shanegladson/Monte-Carlo-Gradient-Estimation

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Report written for a final project in a course on Monte Carlo simulation methods. This covers gradient estimation for objective functions when the parameters of the underlying distribution are unknown. Applications to machine learning are discussed.

active 2024-06-012024-08-20 (UTC)

Complete coverage27,076 / 27,078 hourly files (100%) · 2 absent upstream2023-08-152026-09-16 (UTC)
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97
Pushes
22
Pull requests
21
Issues
28
Stars
2
Forks
0

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Line chart, 81 days from 2024-06-01 to 2024-08-20. Pushes: 22 total, peak 8 in a day. Pull requests: 21 total, peak 8 in a day. Issues: 28 total, peak 10 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

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shanegladson7222210

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.