Quantitative Interview Preparation Guide, updated version here ==>

Export all clippings from your Kindle device to a database in Notion.

Automated trading platform based on Machine Learning algorithm using q/kdb+.

Q Utilities

poetiq - Platform O' Electronic Trading In Q

Python solution to export annotations from your Mendeley library.

The Swift Programming Language

OCaml bindings for Python

Open-source implementation of the K programming language

A language and an embedded JIT compiler

Q code profiler

The repository for the Machine Learning and Big Data with kdb+/q book by Novotny et al.

Solutions to Active Portfolio Management (Second Edition) by Grinold and Kahn

kdb+ Core Libraries and Utilities

Interactive help subsystem for the q/kdb+ session

Latest source files for the kdb+taq package

kdb+ production framework. Read the doc: https://dataintellecttech.github.io/TorQ/. Join the group!

Diffprivlib: The IBM Differential Privacy Library

Machine learning course materials.

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Tutorial materials for PyData 2015 Seattle.

Methods to get the probability of a changepoint in a time series.

Bayesian Changepoint Detection

Iterated integral signature calculations

Code for "Deep Signature Transforms" (NeurIPS 2019)

Documentation for the esig project, written as part of my internship at the Alan Turing Institute.

Kernel PCA for Novelty Detection

The Q Phrasebook

The fundamental package for scientific computing with Python.

Fully functioning fast Limit Order Book written in Python