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A collection of learning resources for curious software engineers
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Mappings of problems from the book Elements of Programming Interviews (EPI) to Leetcode
Official supported Python bindings for llama.cpp + gpt4all
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles.
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Source files for "Learning Statistics with R"
Roadmap to becoming a data engineer in 2021
A list of engineering manager resource links.
Step by step math solutions for everyone
Approaching (Almost) Any Machine Learning Problem
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Data, Benchmarks, and methods submitted to the M5 forecasting competition
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
A simple way to calibrate your neural network.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
A topic-centric list of HQ open datasets.