Pinned Repositories
alexa-teacher-models
auto-cot
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
bigdetection
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
earth-forecasting-transformer
Official implementation of Earthformer
mm-cot
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
patchcore-inspection
RAGChecker
RAGChecker: A Fine-grained Framework For Diagnosing RAG
RefChecker
RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.
siam-mot
SiamMOT: Siamese Multi-Object Tracking
amazon-science's Repositories
amazon-science/crossnorm-selfnorm
CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
amazon-science/exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
amazon-science/FeatGraph
amazon-science/bold
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
amazon-science/qa-dataset-converter
Code from the paper "What do Models Learn from Question Answering Datasets?" (EMNLP 2020)
amazon-science/transformer-gan
amazon-science/gluonmm
A library of transformer models for computer vision and multi-modality research
amazon-science/amazon-multilingual-counterfactual-dataset
amazon-science/proteno
This repository contains data used in the NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems (https://arxiv.org/abs/2104.07777)
amazon-science/BartGraphSumm
Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"
amazon-science/few-shot-baseline
amazon-science/panrep
amazon-science/minimax-fair
amazon-science/semantic-parsing-on-wikidata
amazon-science/statistical-byte-pair-encoding
amazon-science/stil-mbart-multiatis
amazon-science/mt-markup-tags
Data for the paper "How Should Markup Tags Be Translated?" (WMT 2020)