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automatic_speech_recognition_with_multi_models

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

cnn-phoneme-classification-tf

Convolutional Neural Network for Phoneme Classification in Tensorflow

deep-portfolio-theory

Deep Learning framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

deeplearninginfinance

discover-flask

Full Stack Web Development with Flask.

fullstacktemplate

A Template for Creating a Full Stack Web Application with Python, NPM, Webpack and React

jfall-sentiment

JFall Presentation: Sentiment Analysis of Social Media Posts with Apache Spark

markowitz-portfolio-optimization

Markowitz portfolio optimization on synthetic and real stocks

multi-class-with-imbalanced-dataset-classification

Multi-class with imbalanced dataset classification

phoneme_ctc

Bidirectional dynamic RNN + CTC for phoneme recognition

phoneme_recognition

Phoneme Recognition using RecNet

pyfolio

Portfolio and risk analytics in Python

recnet

RecNet - Recurrent Neural Network Framework

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

spark-streaming-elasticsearch

A short introduction to spark streaming using Twitter streaming API and saving tweets into elasticsearch.Results are displayed in real-time using Kibana 3.

spark-twitter-sentiment

twitter-api-sentiment-analysis