valinet /
ExplorerPatcher
This project aims to enhance the working environment on Windows
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jiahaoli57 / repository
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
Welcome to the Call-for-Reviewers repository! This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals. Participating as a reviewer is a great way to engage with the academic community, apply for NIW/H1B/EB1, enhance your CV, and stay updated with the latest research trends.
如果你在做 计算机/机器学习/人工智能 领域相关的研究,同时想积累一些审稿经验来申请 NIW/H1B/EB1(或者优化简历),可以看看这个库。这里收集了各大顶尖 CS/ML/AI 会议的最新 "审稿人征集" 链接
For some conferences, outstanding reviewers may also have the opportunity to waive the registration fee for the following year's conference.
对于部分会议,优秀审稿人还有机会免除次年会议的注册费
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Selected from shared topics, language and repository description—not editorial ratings.
valinet /
This project aims to enhance the working environment on Windows
87/100 healthPKU-YuanGroup /
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
86/100 healthziahamza /
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microsoft /
The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
27/100 healthTheRealJoelmatic /
The intrusive "Ad blocker are not allowed on YouTube" message is annoying. This open-source project aims to address this issue by providing a solution to bypass YouTube's ad blocker detection
38/100 healthpy-why /
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
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