With Vitalik Buterin: Quantifying Contributions of Open Source Projects to the Ethereum Universe

Pride yourself on your machine learning capabilities and evaluation chops? Here’s your chance to flex those muscles, anon. Create a machine learning or metrics-based model that produces 15,000 weights indicating the contribution of open-source repositories to the Ethereum universe. The models that best align with juror rankings for a subset of these dependencies will get to allocate $170,000 to approximately 5,000 open-source repositories—and win prizes worth $50,000 from Vitalik Buterin! For more details or if you have any questions, see the resources below: Check out the video below for a quick introduction. Given approximately 5,000 projects (represented by their GitHub repositories) and the dependencies among them, your task is to measure the relative contribution of each dependency (source node) to its dependent (target node). You’re free to approach this challenge however you see fit—from feature engineering to model selection and optimization—and you are encouraged to incorporate external datasets as well. Jurors will conduct random spot checks to answer questions such as: Submissions receive higher scores if they align more closely with these spot checks. A detailed evaluation method is provided at Cryptopond - Overview Dataset can be downloaded at Cryptopond - Dataset You may use any external datasets you find helpful for measuring contributions. Below are the datasets and evaluation procedures provided in this contest: All the submission and evaluation should be done at Cryptopond's competition page here: Quantifying Contributions of Open Source Projects to the Ethereum Universe After successfully submit your model result, you can see your score and your position at the leaderboard.