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statsmodels

Statsmodels: statistical modeling and econometrics in Python

stock-market-prediction-using-natural-language-processing

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

string_correction

superset

Superset is a data exploration platform designed to be visual, intuitive, and interactive

supplychainpy

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

swdm

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

taxi

Kaggle Winning Model

template-scala-parallel-recommendation

PredictionIO Recommendation Engine Template (Scala-based parallelized engine)

template-scala-parallel-similarproduct

PredictionIO Similar Product Engine Template (Scala-based parallelized engine)

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-nlp

Code for Natural Language Processing, and Text Generation, in TensorFlow 2.x / 1.x

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow

text

Data loaders and abstractions for text and NLP

text-analysis

Text analysis using Exploratory tool

text_classification

all kinds of text classification models and more with deep learning

text_mining

This repo contains data from Ted Kwartler's "Text Mining in Practice With R" book.

textclassification-keras

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

tffm

TensorFlow implementation of an arbitrary order Factorization Machine

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

theano_practice

Practice for myself

tom

A library for topic modeling and browsing

top-deep-learning

Top 200 deep learning Github repositories sorted by the number of stars.

top2vec

Top2Vec learns jointly embedded topic, document and word vectors.

topdeeplearning

A list of popular github projects related to deep learning

topic_modelling_financial_news

Topic modelling on financial news with Natural Language Processing

topicmodeling

Topic Modeling for IMDB top movies by NLP on their synopses

topicvec

transfer-nlp

NLP library designed for reproducible experimentation management