Dmitry Mottl

GetOldTweets3. A Python 3 library and a corresponding command line utility for accessing old tweets

hurst. Hurst exponent evaluation and R/S-analysis in Python

lightgbm3-rs. Rust bindings for LightGBM

ru_punkt. Russian language support for NLTK's PunktSentenceTokenizer

longtail. Longtail transforms RV from the given empirical distribution to the standard normal distribution

influencers. A list of influencers on Twitter

quickpipeline. Quickpipeline is a python module for quick preprocessing of features for further use in machine learning tasks

cartpole_solver. Deep Q-Network (DQN) for CartPole game from OpenAI gym

Crypto-Tweet. Tweet Aggregation, Spam Filtering, and Sentiment Analysis for Cryptocurrency Markets

ctimefmt. strptime/strftime compatible syntax (e.g. "%Y-%m-%d %H:%M:%S %Z") for Go.

laplace. Linear regression for Laplace distributed targets

awesome-machine-learning. A curated list of awesome Machine Learning frameworks, libraries and software.

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.

circularqueue. Go package circularqueue implements a thread-safe circular queue

Adv_Fin_ML_Exercises. Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]