RichardHWD's Stars
allenai/allennlp
An open-source NLP research library, built on PyTorch.
thecharm/boundary-aware-nested-ner
Code for EMNLP 2019 paper "A Boundary-aware Neural Model for Nested Named Entity Recognition"
msight-tech/research-ms-loss
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
shayneobrien/coreference-resolution
Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).
facebookresearch/SpanBERT
Code for using and evaluating SpanBERT.
HuiChen24/NER-GRN
Code for our AAAI2019 paper "GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition"
yatengLG/Focal-Loss-Pytorch
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
crownpku/Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
BrikerMan/Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
leviswind/pytorch-transformer
pytorch implementation of Attention is all you need
spytensor/prepare_detection_dataset
convert dataset to coco/voc format
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
zhengzhugithub/CV-arXiv-Daily
分享计算机视觉每天的arXiv文章
jiesutd/NCRFpp
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
luuuyi/RefineDet.PyTorch
A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection
amdegroot/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
lzx1413/PytorchSSD
pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet
mahyarnajibi/SNIPER
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
GOATmessi8/RFBNet
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
lufficc/SSD
High quality, fast, modular reference implementation of SSD in PyTorch