This is a repo with links to everything you'd ever want to learn about data engineering

Visualize decision trees in Python

Current and Historical Lists of S&P 500 components since 1996

Material for gpu-mode lectures

A resource to help you pass system design interview and become good at work 👇

A Li-ion battery library written in Matlab Simscape language. Battery models include: TSPMeA, TSPMe, TECMD, TECM and a few utility components

Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.

Download market data from Yahoo! Finance's API

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Meta-heuristic optimisation suite for python

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Sequential model-based optimization with a `scipy.optimize` interface

A blazingly fast LSP client for Emacs

A community driven list of useful Emacs packages, libraries and others.

Differentiable convex optimization layers

Lightning ⚡️ fast forecasting with statistical and econometric models.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with o…

A Python implementation of global optimization with gaussian processes.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Factorization Machine models in PyTorch

A python library for decision tree visualization and model interpretation.

🔥 Feature-rich interactive Jira command line.

Package implementing Convergent Cross Mapping for causality inference in dynamical systems

🪄 Auto-generate Streamlit UI from Pydantic Models and Dataclasses.

An open access book on scientific visualization using python and matplotlib