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cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

chinese-ocr-1

[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

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese_ocr

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

chinesener

A neural network model for Chinese named entity recognition

chineseocr

yolo3+ocr

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn-visualization

CNN可视化、理解CNN

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

conformer

cornernet

cornernet-lite

coursera

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crf

keras implementation of conditional random field

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn-1

A TensorFlow implementation of https://github.com/bgshih/crnn

crnn.pytorch

Convolutional recurrent network in pytorch

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

crowddet

crowddetection

cs231n

cs231n assignments

cs231n.github.io

Public facing notes page

csd-rfcn