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Data and analysis for 'Machine Bias'
Orbax provides common checkpointing and persistence utilities for JAX users
An R package for causal inference in time series
Must-read papers and resources related to causal inference and machine (deep) learning
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Uplift modeling and causal inference with machine learning algorithms
Browse Notion pages right inside Visual Studio Code.
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info such as mini reviews of some of the books in the flowchart.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Modern and minimalistic CSS framework for terminal enthusiasts
Spelling, grammar and style checking on LaTeX documents
Fourth iteration of my personal website built with Gatsby
A complete computer science study plan to become a software engineer.
Organize world's knowledge, explore connections and curate learning paths
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
💫 Industrial-strength Natural Language Processing (NLP) in Python
Aranjament de tastatură "Romanian - Programmers" pentru Mac OS X / macOS
Deprecated - A seccomp sandbox go package used by MIG modules (https://mig.ninja)