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lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

machine-learning-asset-management

Machine Learning in Asset Management

medium-ds-unsupervised-anomaly-detection-deepant-lstmae

Deep Learning based technique for Unsupervised Anomaly Detection using DeepAnT and LSTM Autoencoder

mediumblog

Jupyter notebooks for my blog on Medium.com

mlops_workshop

Azure MLOps

neural-networks-for-time-series-analysis

Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis

nlp_course

YSDA course in Natural Language Processing

nlpaug

Data augmentation for NLP

onlinenpcorr

Batch and online algorithms for nonparametric correlations such as Spearman's rank correlation and Kendall's tau correlation

predictive-maintenance-lstm

Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.

project

python

refresher

reddit-stock-trends

Fetch currently trending stocks on Reddit

rul_using_cnn_lstm

Predict remaining useful life of a machine from it's historical data using CNN and LSTM

seng

seng300proj2

sourcetreetest

spark-examples

RAPIDS Spark examples

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

storeitemdemand

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

textpack

Group thousands of similar spreadsheet or database text entries in seconds

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

trieconstruct

unusualvolumedetector

Gets the last 5 months of volume history for every ticker, and alerts you when a stock's volume exceeds 10 standard deviations from the mean within the last 3 days

wall-street-bets

Sources Ticker Sentiment using reddit

windturbineoutputprediction

Work done at the H2O Open Tour NYC 2016 Hackathon, and later refinements

wishcsdev.github.io

wsb_scraper

wsbtickerbot

Reddit Bot for to scrape for the most mentioned tickers on the r/wallstreetbets subreddit.