amazon-science Goto Github PK
Name: Amazon Science
Type: Organization
Twitter: AmazonScience
Blog: https://amazon.science
Name: Amazon Science
Type: Organization
Twitter: AmazonScience
Blog: https://amazon.science
Code and data for the Dreyer et al (2023) paper on abstractiveness and factuality in abstractive summarization
Official implementation of Adaptive Feature Transfer (AFT)
AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
The package defines a set of tool to access the annotated data we collected for 2022 Amazon Alexa language-assisted product search challenge.
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"
Causal Inference in Python
Repository for "Background Summarization of Event Timelines"
Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"
Bias bounties codebase for "An Algorithmic Framework for Bias Bounties" paper by Globus-Harris, Kearns, and Roth
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Dataset and codebase for "Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains"
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
Datasets and code for results presented in the BOON paper
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.