None (toxic-0518)

toxic-0518

Geek Repo

Company:Shanghai Jiaotong University

Location:800# Dongchuan RD. Minhang District, Shanghai, China

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None's repositories

AdaptiveAttention

Adaptive Attention for image captioning

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pdfminer

Python PDF Parser

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attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

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AttentionOCR

Scene text recognition

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blend_modes

Python package that implements image blend modes

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caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

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CNN_LSTM_CTC_Tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

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lstm_ctc_ocr

Use CTC + tensorflow to OCR

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pairwise_stitch

A python implementation for multi page tif stitching

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deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

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deform-conv

Deformable Convolution in TensorFlow / Keras

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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GAN-discussions

GAN讨论群讨论汇总的地方

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go-common

哔哩哔哩 bilibili 网站后台工程 源码

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Image_manipulation_detection

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

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imgaug

Image augmentation for machine learning experiments.

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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.

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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

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keras_compact_bilnear_CNN

This is an implementation of compact bilinear CNN using keras

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models

Models built with TensorFlow

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MoGA

MoGA: Searching Beyond MobileNetV3

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SynthText_Chinese_version

Modify from https://github.com/ankush-me/SynthText.git to generate chinese character

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow_lstm_ctc_ocr

CTC + Tensorflow Example for ASR

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tesseract

Tesseract Open Source OCR Engine (main repository)

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TFFRCNN

FastER RCNN built on tensorflow

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wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

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