Pinned Repositories
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
doc2vec_java
A Java implementation of doc2vec in ICML'14
entity-extraction-system-crf
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
LSTM-CRF-NER
Tensorflow implementation of LSTM-CRF for Named Entity Recognition
models
Models built with TensorFlow
named-entity-recognizer_crf--conkk2002
A Named Entity Recognizer (NER) application in Java using the CRF++ tool and Conll2002 data sets.
ProbaseLDA
In PAKDD 2015. Incorporating Probabilistic Knowledge into Topic Models
redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
zhangxiaojiong's Repositories
zhangxiaojiong/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
zhangxiaojiong/Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
zhangxiaojiong/doc2vec_java
A Java implementation of doc2vec in ICML'14
zhangxiaojiong/entity-extraction-system-crf
zhangxiaojiong/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
zhangxiaojiong/LSTM-CRF-NER
Tensorflow implementation of LSTM-CRF for Named Entity Recognition
zhangxiaojiong/models
Models built with TensorFlow
zhangxiaojiong/named-entity-recognizer_crf--conkk2002
A Named Entity Recognizer (NER) application in Java using the CRF++ tool and Conll2002 data sets.
zhangxiaojiong/ProbaseLDA
In PAKDD 2015. Incorporating Probabilistic Knowledge into Topic Models
zhangxiaojiong/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
zhangxiaojiong/redis-rdb-tools
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
zhangxiaojiong/Resources
zhangxiaojiong/Summarization
Performs multi document summarization. Includes a method to generate summaries: The method uses a sentence importance score calculator based on various semantic features and a semantic similarity score to select sentences that would be most representative of the document. It uses stack-decoder algorithm as used as a template and builds on it to produce summaries that are closer to optimal.
zhangxiaojiong/tf-lstm-crf-batch
Tensorflow-LSTM-CRF tool for Named Entity Recognizer