kk7nc Goto Github PK
Name: Kamran Kowsari
Type: User
Company: University of California, Los Angeles
Bio: Kamran Kowsari is scientist at University of California, Los Angeles (UCLA).
Location: Los Angeles
Kamran Kowsari's Projects
rmdl
RMDL: Random Multimodel Deep Learning for Classification
rst-cheatsheet
A two-page cheatsheet for restructured text
scikit-cuda
Python interface to GPU-powered libraries
sensu-plugins-http
This plugin provides native HTTP instrumentation for monitoring and metrics collection, including: response code, JSON response, HTTP last modified, SSL expiry, and metrics via `curl`.
shallowlearn
A collection of supervised learning models based on shallow neural network approaches (e.g., word2vec and fastText) with some additional exclusive features. Written in Python and fully compatible with Scikit-learn.
socialmedia-app
A fully functional social media app built with flutter with multiple features
spark-nlp
State of the Art Natural Language Processing
spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
spark-ocr-workshop
Public runnable examples of using John Snow Labs' OCR for Apache Spark.
text-classification
Implementation of papers for text classification task on DBpedia
text-generator-lstm
Text Generation with LSTM Recurrent Neural Networks
text_classification
Text Classification Algorithms: A Survey
textclassifier
Text classifier for Hierarchical Attention Networks for Document Classification
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
tq
Evaluating the Predictive Ability of NLP in Identifying Tertiary/Quaternary Cases in Prioritization Workflows for Interhospital Transfer
word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
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