Provides network connectivity to WSL 2 when blocked by VPN

Python library for portfolio optimization built on top of scikit-learn

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor mod…

An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.

Implemented some mathematical processings used in the Barra risk model

Multi functional app to find duplicates, empty folders, similar images etc.

Schrodinger Principal Component Analysis

A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design pattern…

Math.NET Numerics

A light-weight, flexible, and expressive statistical data testing library

A collection of libraries to optimise AI model performances

World beating online covariance and portfolio construction.

An object-oriented algebraic modeling language in Python for structured optimization problems.

PyZMQ: Python bindings for zeromq

Collection of algorithms for online portfolio selection

Extensible memoizing collections and decorators

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Open source time series library for Python

The machine learning toolkit for time series analysis in Python

Mueen-Keogh Algorithm for finding timeseries motifs

Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.

Library of graph clustering algorithms

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

My website's code base. Warning: May contain bugs.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Predict time-series with one line of code.

Python package to enforce column names & data types of pandas DataFrames

Get Statistics Canada data into python (mostly pandas)

🧙 A web app to generate template code for machine learning