Stars
This project focuses on analyzing inventory efficiency and forecasting stock loan requirements using Python and KDB+. It applies financial data analytics, optimization techniques, and machine learn…
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
PyKX is a Python first interface to the worlds fastest time-series database kdb+ and it's underlying vector programming language q.
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
A flexible, intuitive and fast forecasting library
Step-by-step code for my Medium posts' data analysis and visualization!
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A proof-of-concept jupyter extension which converts english queries into relevant python code
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
interprocess communication between Python and kdb+
3D visualization of scientific data in Python
High-performance TensorFlow library for quantitative finance.
Dark color scheme for Q Insight Pad (like in VS code and Sublime)
Setup for kdb tick architecture - This code is forked from https://code.kx.com/q/wp/rt-tick/ , playing around with it to add slow consumers and various other options.
Analysis to Trades based on various financial parameters
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
kdb+ production framework. Read the doc: https://dataintellecttech.github.io/TorQ/. Join the group!
Shows the products and its category getting the data from Array
Http connection over the network to render the data.
Consists of commonly used utilities in q lang kdb