Pinned Repositories
2001test
research topic
adversarial-object-removal
Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.
AMEx-MEx-Loss
BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
bert_crf
BERT CRF model for Name Entity Recognition in pytorch
bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
CLUENER2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
CLUR_UncertaintyEst_FewShot_TextCls
CMSST_Zero-Shot-E2E-SLU
Towards-More-Accurate-Uncertainty-Estimation-In-Text-Classification
he159ok's Repositories
he159ok/CLUR_UncertaintyEst_FewShot_TextCls
he159ok/Towards-More-Accurate-Uncertainty-Estimation-In-Text-Classification
he159ok/AMEx-MEx-Loss
he159ok/2001test
research topic
he159ok/adversarial-object-removal
Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.
he159ok/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
he159ok/bert_crf
BERT CRF model for Name Entity Recognition in pytorch
he159ok/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
he159ok/CLUENER2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
he159ok/CMSST_Zero-Shot-E2E-SLU
he159ok/CS2001_Test
test repo for CS2001
he159ok/cutorch
A CUDA backend for Torch7
he159ok/Distributional-Signatures
Few-shot Text Classification with Distributional Signatures
he159ok/ENER_baseline
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
he159ok/FashionPlus
Fashion++: Minimal Edits for Outfit Improvement
he159ok/models
Models and examples built with TensorFlow
he159ok/Multilingual_NER
Applying BERT to named entity recognition in English and Russian.
he159ok/MyTestArchi
he159ok/Posterior-Network
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
he159ok/pwc
Papers with code. Sorted by stars. Updated weekly.
he159ok/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
he159ok/Resume-hugo-academic
he159ok/SCAN
PyTorch source code for "Stacked Cross Attention for Image-Text Matching"
he159ok/scene_graph_benchmark
image scene graph generation benchmark
he159ok/slue-toolkit
A toolkit for Spoken Language Understanding Evaluation (SLUE) benchmark. Refer paper https://arxiv.org/abs/2111.10367 for more details. Official website: https://asappresearch.github.io/slue-toolkit/
he159ok/slurp_metrics
Repository for SLURP paper
he159ok/Spacy3Textcat
SpacyV3 Text Categorizer Tutorial
he159ok/UncSeqLabeling_SLPN