mick-phemex Goto Github PK
Name: Mick
Type: User
Company: phemex
Name: Mick
Type: User
Company: phemex
2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit
Advances in Financial Machine Learning by Marcos Lopez De Prado
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Methods to get the probability of a changepoint in a time series.
Binance API Client
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Python implementation of Bayesian online changepoint detection
Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
Modelling Maximum Drawdown with Python
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
SDK for Financial Modeling Prep's (FMP) API
A framework for gene expression programming (an evolutionary algorithm) in Python
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Multivariate Markov-Switching Models Regressions Framework
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Python3 API connector for Bybit's HTTP and Websockets APIs.
Portfolio and risk analytics in Python
Kalman Filter, Smoother, and EM Algorithm for Python
Binance Chain Exchange API python implementation for automated trading
requriment python > 3.5,asyncio and websockets to get parallem io read from Binance and okex
Notebooks based on financial machine learning.
SdePy: Numerical Integration of Ito Stochastic Differential Equations
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Download market data from Yahoo! Finance's API
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.