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CCF BDCI 2019 互联网新闻情感分析复赛top1解决方案

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

ctpn faster because of using gpu to nms

云原生一站式机器学习平台，多租户，数据资产，notebook在线开发，拖拉拽任务流编排，多机多卡分布式训练，超参搜索，推理服务，多集群调度，多项目组资源组，边缘计算，大模型实时训练, ai应用商店

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Keras implementation of RetinaNet object detection.

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Some bugfix for rapoo keyboard where some keys are invalid.

Simple and ready-to-use tutorials for TensorFlow

Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

yolov3 for rubbish detection

YOLOv5 in PyTorch > ONNX > CoreML > iOS