domain-adaptation-caplsUnsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Stars: ✭ 43 (-44.16%)
adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (-40.26%)
DASCode and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.
Stars: ✭ 48 (-37.66%)
zero shot learningA Visual-semantic embedding model using word2vec and CNNs
Stars: ✭ 13 (-83.12%)
rasa bot整理:基于Rasa-NLU和Rasa-Core的任务型ChatBot
Stars: ✭ 51 (-33.77%)
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Stars: ✭ 26 (-66.23%)
PrivacyQA EMNLPPrivacyQA, a resource to support question-answering over privacy policies.
Stars: ✭ 24 (-68.83%)
AdaptationSegCurriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
Stars: ✭ 128 (+66.23%)
FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
Stars: ✭ 48 (-37.66%)
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (+37.66%)
SFAOfficial Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"
Stars: ✭ 79 (+2.6%)
pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Stars: ✭ 110 (+42.86%)
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Stars: ✭ 47 (-38.96%)
label-studio-transformersLabel data using HuggingFace's transformers and automatically get a prediction service
Stars: ✭ 117 (+51.95%)
tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
Stars: ✭ 107 (+38.96%)
gap-text2sqlGAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Stars: ✭ 83 (+7.79%)
viky-aiNatural Language Processing platform. Allows to extract information from unstructured text.
Stars: ✭ 38 (-50.65%)
DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
Stars: ✭ 27 (-64.94%)
SelSumAbstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Stars: ✭ 36 (-53.25%)
DiscEvalDiscourse Based Evaluation of Language Understanding
Stars: ✭ 18 (-76.62%)
DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Stars: ✭ 31 (-59.74%)
BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
Stars: ✭ 31 (-59.74%)
CAC-UNet-DigestPath20191st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Stars: ✭ 83 (+7.79%)
Zero-Shot-TTSUnofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
Stars: ✭ 33 (-57.14%)
OpenPromptAn Open-Source Framework for Prompt-Learning.
Stars: ✭ 1,769 (+2197.4%)
watson-document-classifierAugment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.
Stars: ✭ 41 (-46.75%)
VCMLPyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019
Stars: ✭ 45 (-41.56%)
causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
Stars: ✭ 387 (+402.6%)
nlcliNatural language interface for the command line.
Stars: ✭ 21 (-72.73%)
wikiHow paper listA paper list of research conducted based on wikiHow
Stars: ✭ 25 (-67.53%)
Zero-Shot-LearningA python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.
Stars: ✭ 21 (-72.73%)
slotminerTool for slot extraction from text
Stars: ✭ 15 (-80.52%)
IAST-ECCV2020IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Stars: ✭ 84 (+9.09%)
Knowledge Graph WanderA collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods
Stars: ✭ 26 (-66.23%)
sedeText-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
Stars: ✭ 83 (+7.79%)
TextFeatureSelectionPython library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
Stars: ✭ 42 (-45.45%)
CrossNERCrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
Stars: ✭ 87 (+12.99%)
sms-analysis-with-wksAnalyzing SMS offers for domain specific entities using Watson Knowledge Studio and Watson's Natural Language Understanding
Stars: ✭ 17 (-77.92%)
r2sql🌶️ R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
Stars: ✭ 60 (-22.08%)
sepia-assist-serverCore server of the SEPIA Framework responsible for NLU, conversation, smart-service integration, user-accounts and more.
Stars: ✭ 81 (+5.19%)
ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Stars: ✭ 23 (-70.13%)
dstqaCode for Li Zhou, Kevin Small. Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. In NeurIPS 2019 Workshop on Conversational AI
Stars: ✭ 26 (-66.23%)
LuciLogical Unity for Communicational Interactivity
Stars: ✭ 25 (-67.53%)
Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
Stars: ✭ 62 (-19.48%)
smart-email-supportSmart Email Support for Telecom Organisations - Provide automated customer support for emails
Stars: ✭ 19 (-75.32%)
spokestack-iosSpokestack: give your iOS app a voice interface!
Stars: ✭ 27 (-64.94%)