Ning Lu's repositories
FOTS.PyTorch
FOTS Pytorch Implementation
facenet_mtcnn_to_mobile
convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml (使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端)
Deformable-DETR
This is an implementation of Deformable-DETR
Chinese_medical_NLP
中文医疗NLP领域 数据集,论文 ,知识图谱,语料,工具包
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
jiangxiluning.github.io
myblog
OCR_E2E_Inference
This is a high performance ocr end to end inference framework.
allennlp-distributed-training
Experiments to benchmark AllenNLP distributed training.
CLRS
📚 Solutions to Introduction to Algorithms Third Edition
DB
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Jupyter Notebooks cells. It's using IPython with HTML for faster, richer and more interactive way of displaying big number of images.
LSTM-CRF-pytorch-faster
This is an LSTM-CRF implementation optimized from the Pytorch official document. I have modified the dynamic planning part, including Viterbi decoding and partition function calculation. In the experiment, it has achieved a speed increase of more than 50 times the original version
MaskTextSpotter
A PyTorch implementation of Mask TextSpotter
parseq
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
pytorch-lightning-gans
Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.
SRNet-Datagen
This is a data generator of SRNet which is the model of paper Editing Text in the wild.
Table-OCR
Recognize tables from images and restore them into word.
tableImageParser_tx
table structure recognition
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch