LittleRedHat's repositories
awesome-zsl
resource bundles for zero-shot learning
medical_caption
radiology medical report generation
caml-mimic
multilabel classification of EHR notes
Chexpert
Top 1 solution of Chexpert
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
ehr_coding
repo for cikm2019 paper "EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation"
frwgan-eccv18
Code for model presented on our paper accepted on European Conference on Computer Vision 2018.
insightface
Face Analysis Project on MXNet
LatticeLSTM
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
leetcode
for leetcode practice
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
pubmed-rct
PubMed 200k RCT dataset: a large dataset for sequential sentence classification.
SCN_for_video_captioning
Using Semantic Compositional Networks for Video Captioning
Style-Transfer-in-Text
Paper List for Style Transfer in Text
summarize-radiology-findings
Code and pretrained model for paper "Learning to Summarize Radiology Findings"
text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
tianchi_zsl
tianchi zsl
tutorials
Tutorials for creating and using ONNX models