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dengcy028's Projects

cecog icon cecog

A fast and cross-platform image analysis framework for fluorescence time-lapse microscopy and bioimage informatics.

cereal icon cereal

A C++11 library for serialization

chainer-libdnn icon chainer-libdnn

General utilities for deep neural network researching with chainer

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

clstm icon clstm

A small C++ implementation of LSTM networks, focused on OCR.

cnn-lstm-caption-generator icon cnn-lstm-caption-generator

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

cnn-lstm-ctc icon cnn-lstm-ctc

An implementation of LSTM and CTC to recognize simple english sentence image

cnn_face_detection icon cnn_face_detection

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

crnn icon crnn

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

crnn_tensorflow icon crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

ctpl icon ctpl

Modern and efficient C++ Thread Pool Library

ctpn icon ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

curl icon curl

Curl is a tool and libcurl is a library for transferring data with URL syntax, supporting FTP, FTPS, HTTP, HTTPS, GOPHER, TFTP, SCP, SFTP, TELNET, DICT, LDAP, LDAPS, FILE, IMAP, SMTP, POP3, RTSP and RTMP. libcurl offers a myriad of powerful features

curl-for-windows icon curl-for-windows

An unofficial mirror of the curl library with support for static linking on Windows.

cvpr15-cfss icon cvpr15-cfss

Full version (training+testing) of implementation of Shizhan Zhu et al.'s CVPR-15 work Face Alignment by Coarse-to-Fine Shape Searching

cxxnet icon cxxnet

fast, concise, distributed deep learning framework

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

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