Discover amazon-science/omni-detr Open Source project

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PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089

mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

Python

3,727

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

Python

2,202

auto-cot

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

patchcore-inspection

siam-mot

SiamMOT: Siamese Multi-Object Tracking

alexa-teacher-models

bigdetection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

Python

352

earth-forecasting-transformer

Official implementation of Earthformer

Jupyter Notebook

337

sccl

Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021

Python

262

prompt-pretraining

Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"

Python

250

RefChecker

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

Python

235

esci-data

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Python

154

video-contrastive-learning

Video Contrastive Learning with Global Context, ICCVW 2021

tgl

gan-control

This package provides a pythorch implementation of "GAN-Control: Explicitly Controllable GANs", ICCV 2021.

polygon-transformer

ReFinED

ReFinED is an efficient and accurate entity linking (EL) system.

Python

116

tanl

Structured Prediction as Translation between Augmented Natural Languages

Python

113

unconditional-time-series-diffusion

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

Python

112

crossnorm-selfnorm

CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021

Python

111

cceval

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023)

Python

109

wqa_tanda

This repo provides code and data used in our TANDA paper.

106

spot-diff

Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)

Python

101

mintaka

Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)

Python

101

mix-generation

MixGen: A New Multi-Modal Data Augmentation

Python

100

long-short-term-transformer

[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection

Python

100

alexa-arena

Python

fraud-dataset-benchmark

Repository for Fraud Dataset Benchmark

Jupyter Notebook

glass-text-spotting

Official implementation for "GLASS: Global to Local Attention for Scene-Text Spotting" (ECCV'22)

Python

meta-q-learning

Code for the paper "Meta-Q-Learning"( ICLR 2020)

Python

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

co-with-gnns-example

datatuner

mxeval

sentence-representations

Python

CodeSage

CodeSage: Code Representation Learning At Scale (ICLR 2024)

Python

semimtr-text-recognition

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Python

fact-check-summarization

Python

instruct-video-to-video

Python

tabsyn

Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

Python

object-centric-learning-framework

Python

progressive-coordinate-transforms

Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021

Python

FeatGraph

Python

small-baseline-camera-tracking

A dataset to facilitate the research of Structure-from-Motion (SfM) for movie and TV shows.

tubelet-transformer

This is an official implementation of TubeR: Tubelet Transformer for Video Action Detection

Python

embert

Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

Python

RAGChecker

RAGChecker: A Fine-grained Framework For Diagnosing RAG

Python

probconserv

Datasets and code for results presented in the ProbConserv paper

Python

semi-vit

PyTorch implementation of Semi-supervised Vision Transformers

Python

qa-dataset-converter

Code from the paper "What do Models Learn from Question Answering Datasets?" (EMNLP 2020)

Python

masked-diffusion-lm

Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"

Python

transformer-gan

Python

transformers-data-augmentation

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Python

gluonmm

A library of transformer models for computer vision and multi-modality research

Python

crossmodal-contrastive-learning

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations, ICCV 2021

Python

recode

Releasing code for "ReCode: Robustness Evaluation of Code Generation Models"

Python

tracking-dataset

Python

dstc11-track2-intent-induction

DSTC 11 Track 2: Intent Induction from Conversations for Task-Oriented Dialogue

Python

dse

Python

dq-bart

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)

Python

gnn-tail-generalization

Python

auto-rag-eval

Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"

Python

boon

Datasets and code for results presented in the BOON paper

Jupyter Notebook

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)

fact-graph

Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"

Python

c2f-seg

Official Implementation for ICCV'23 paper Coarse-to-Fine Amodal Segmentation with Shape Prior (C2F-Seg).

Python

amazon-multilingual-counterfactual-dataset

QA-ViT

Python

indoor-scene-generation-eai

Jupyter Notebook

long-tailed-ood-detection

Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (ICML'22 Long Presentation)

Python

efficient-longdoc-classification

Python

object-centric-multiple-object-tracking

Python

hyperbolic-embeddings

Code for hyperboloid embeddings for knowledge graph entities

Python

domain-knowledge-injection

Python

azcausal

Causal Inference in Python

Python

Repoformer

Repoformer: Selective Retrieval for Repository-Level Code Completion (ICML 2024)

Python

ContraCLM

[ACL 2023] Code for ContraCLM: Contrastive Learning For Causal Language Model

Python

unified-ept

A Unified Efficient Pyramid Transformer for Semantic Segmentation, ICCVW 2021

Python

robust-tableqa

Two approaches for robust TableQA: 1) ITR is a general-purpose retrieval-based approach for handling long tables in TableQA transformer models. 2) LI-RAGE is a robust framework for open-domain TableQA which addresses several limitations. (ACL 2023)

Python

bold

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

replay-based-recurrent-rl

Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"

Python

controlling-llm-memorization

Python

carbon-assessment-with-ml

CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity

Jupyter Notebook

peft-design-spaces

Official implementation for "Parameter-Efficient Fine-Tuning Design Spaces"

Python

llm-interpret

Code for the ACL 2023 paper: "Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale"

Python

creating-and-correcting-novel-ml-model-errors

Jupyter Notebook

BartGraphSumm

Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"

Python

tofueval

wqa-cascade-transformers

textadain-robust-recognition

TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers

Python

multiatis

Data and code for the paper "End-to-End Slot Alignment and Recognition for Cross-Lingual NLU" (Accepted to EMNLP 2020)

Python

iwslt-autodub-task

Python

street-reasoning

STREET: a multi-task and multi-step reasoning dataset

Python

contrastive-controlled-mt

Code and data for the IWSLT 2022 shared task on Formality Control for SLT

Ruby

pizza-semantic-parsing-dataset

The PIZZA dataset continues the exploration of task-oriented parsing by introducing a new dataset for parsing pizza and drink orders, whose semantics cannot be captured by flat slots and intents.

Python

redset

Redset is a dataset containing three months worth of user query metadata that ran on a selected sample of instances in the Amazon Redshift fleet. We provide query metadata for 200 provisioned and serverless instances each.

fast-rl-with-slow-updates

few-shot-baseline

doc-mt-metrics

normalizer-free-robust-training

Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)

Python

amazon-science/omni-detr

amazon-science

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