QuantCo (@quantcotech) / X

QuantCo

32 posts

QuantCo

@quantcotech

QuantCo leverages expertise in data science, engineering, and economics to help organizations turn data into decisions.

Joined June 2019

QuantCo
@quantcotech
Oct 24, 2024
Keeping track of third-party licenses can get cumbersome. We’ve built conda-deny to automate license compliance checking in conda projects. Inspired by cargo-deny, it uses SPDX standards to simplify the process. Curious? Learn more in our blog:
tech.quantco.com
Automated License Checking for Conda Projects | QuantCo Engineering Blog
How we automatically check our software for license compliance.
QuantCo
@quantcotech
Sep 4, 2024
Defining ONNX models using primitive protobuf objects is extremely cumbersome and error-prone. This is why we wrote Spox! A Python library that makes defining ONNX models fast and easy. Find out more in our latest blog post on ONNX at
tech.quantco.com
Defining ONNX graphs with Spox | QuantCo Engineering Blog
Spox provides an efficient and Pythonic way to define ONNX graphs.
QuantCo
@quantcotech
Aug 15, 2024
At QuantCo, we don't believe in tedious manual work! That's why we've created TabularDelta to simplify comparisons of tabular data, giving our teams the comfort of speedy and reliable workflows. Wondering how we do it? Visit tech.quantco.com/blog/tabular-d… to get an insight
tech.quantco.com
Easily compare tabular data with TabularDelta - powered by SQLCompyre | QuantCo Engineering Blog
TabularDelta reports table comparisons in different formats for various types of tables and use cases.
QuantCo
@quantcotech
Aug 9, 2024
We have been using ONNX extensively at QuantCo for years and want to share our experience with the community. We are writing a three-part blog series on it and our surrounding Open-Source tooling. The first post that covers the basics just went up:
tech.quantco.com
Persisting and running machine learning models with ONNX | QuantCo Engineering Blog
Introduction into ONNX, an open-source specification that allows us to persist the state of a trained model as well as its inference logic.
QuantCo
@quantcotech
Jul 12, 2024
We just recently open-sourced metalearners - a Causal Inference library for estimating Conditional Average Treatment Effects in Python. Learn more about it here:
tech.quantco.com
MetaLearners for CATE estimation | QuantCo Engineering Blog
Estimating Conditional Average Treatment Effects with the metalearners library
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