Oğuz Kırman's repositories
PCA-LSTM-in-stock-price-prediction
Stock Price Prediction with PCA and LSTM
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
causalml
Uplift modeling and causal inference with machine learning algorithms
CovGC
Covariance based Granger Causality analysis for fMRI
DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
finta
Common financial technical indicators implemented in Pandas.
FlutterEbookApp
A simple Flutter app to Read and Download eBooks.
go_ehlers_indicators
A collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers
lagrangian_nns
Lagrangian Neural Networks
lightweight-charts
Financial lightweight charts built with HTML5 canvas
muspy
A toolkit for symbolic music generation
Neural-GC
Granger causality discovery for neural networks.
neural-tangents
Fast and Easy Infinite Neural Networks in Python
NNGC-SLIMMBA
Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry
Probabilistic-Sharpe-Ratio
Probabilistic Sharpe Ratio example in Python (by Marcos López de Prado)
pystockfilter
Financial technical and fundamental analysis indicator library for pystockdb.
pysystemtrade
Systematic Trading in python
quant-trading
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle
rrule
JavaScript library for working with recurrence rules for calendar dates as defined in the iCalendar RFC and more.
stock-price-forecaster-lstm
A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.
stockbot
Alpaca algo stock trading bot
StockForecast
Using machine learning to predict/forecast the future trend of stock prices.
stocksight
Crowd-sourced stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
ta
Technical Analysis Library using Pandas and Numpy
tago
Technical Analysis library. Written from scratch, 100% in Go.
tspdlib
GAUSS time series and panel unit root tests compiled by Saban Nazlioglu
Weighted-Convergent-Cross-Mapping
Convergent cross mapping (CCM) is a statistical test for a cause-and-effect relationship between two time series variables that, like the Granger causality test, seeks to resolve the problem that correlation does not imply causation
xtreme
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.