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mm-cot
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecastingauto-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 Trackingalexa-teacher-models
bigdetection
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-trainingearth-forecasting-transformer
Official implementation of Earthformersccl
Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021prompt-pretraining
Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"RefChecker
RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.esci-data
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Searchvideo-contrastive-learning
Video Contrastive Learning with Global Context, ICCVW 2021tgl
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.tanl
Structured Prediction as Translation between Augmented Natural Languagesunconditional-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"crossnorm-selfnorm
CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021cceval
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023)wqa_tanda
This repo provides code and data used in our TANDA paper.spot-diff
Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)mintaka
Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)mix-generation
MixGen: A New Multi-Modal Data Augmentationlong-short-term-transformer
[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detectionalexa-arena
glass-text-spotting
Official implementation for "GLASS: Global to Local Attention for Scene-Text Spotting" (ECCV'22)meta-q-learning
Code for the paper "Meta-Q-Learning"( ICLR 2020)exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482co-with-gnns-example
datatuner
Code related to "Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity" papermxeval
sentence-representations
CodeSage
CodeSage: Code Representation Learning At Scale (ICLR 2024)semimtr-text-recognition
Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)fact-check-summarization
instruct-video-to-video
tabsyn
Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""object-centric-learning-framework
omni-detr
PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089progressive-coordinate-transforms
Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021FeatGraph
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 Detectionembert
Code for EmBERT, a transformer model for embodied, language-guided visual task completion.RAGChecker
RAGChecker: A Fine-grained Framework For Diagnosing RAGprobconserv
Datasets and code for results presented in the ProbConserv papersemi-vit
PyTorch implementation of Semi-supervised Vision Transformersqa-dataset-converter
Code from the paper "What do Models Learn from Question Answering Datasets?" (EMNLP 2020)masked-diffusion-lm
Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"transformer-gan
transformers-data-augmentation
Code associated with the "Data Augmentation using Pre-trained Transformer Models" papergluonmm
A library of transformer models for computer vision and multi-modality researchcrossmodal-contrastive-learning
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations, ICCV 2021recode
Releasing code for "ReCode: Robustness Evaluation of Code Generation Models"tracking-dataset
dstc11-track2-intent-induction
DSTC 11 Track 2: Intent Induction from Conversations for Task-Oriented Dialoguedse
dq-bart
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)gnn-tail-generalization
auto-rag-eval
Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"boon
Datasets and code for results presented in the BOON paperproteno
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)"c2f-seg
Official Implementation for ICCV'23 paper Coarse-to-Fine Amodal Segmentation with Shape Prior (C2F-Seg).amazon-multilingual-counterfactual-dataset
QA-ViT
indoor-scene-generation-eai
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)efficient-longdoc-classification
object-centric-multiple-object-tracking
hyperbolic-embeddings
Code for hyperboloid embeddings for knowledge graph entitiesdomain-knowledge-injection
azcausal
Causal Inference in PythonRepoformer
Repoformer: Selective Retrieval for Repository-Level Code Completion (ICML 2024)ContraCLM
[ACL 2023] Code for ContraCLM: Contrastive Learning For Causal Language Modelunified-ept
A Unified Efficient Pyramid Transformer for Semantic Segmentation, ICCVW 2021robust-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)bold
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paperreplay-based-recurrent-rl
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"controlling-llm-memorization
carbon-assessment-with-ml
CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similaritypeft-design-spaces
Official implementation for "Parameter-Efficient Fine-Tuning Design Spaces"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"creating-and-correcting-novel-ml-model-errors
BartGraphSumm
Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"tofueval
wqa-cascade-transformers
textadain-robust-recognition
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizersmultiatis
Data and code for the paper "End-to-End Slot Alignment and Recognition for Cross-Lingual NLU" (Accepted to EMNLP 2020)iwslt-autodub-task
street-reasoning
STREET: a multi-task and multi-step reasoning datasetcontrastive-controlled-mt
Code and data for the IWSLT 2022 shared task on Formality Control for SLTpizza-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.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)Love Open Source and this site? Check out how you can help us