Transformer: PyTorch Implementation of "Attention Is All You Need"

A curated list of static web site generators.

An extremely fast Python package and project manager, written in Rust.

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

A very fast implementation of tldr in Rust.

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

spock is a framework that helps manage complex parameter configurations during research and development of Python applications

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"

All Algorithms implemented in Python

Master the command line, in one page

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

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…

DEPRECATED. See new generalized random forest package for up-to-date implementation.

CSuite: A Suite of Benchmark Datasets for Causality

A playbook for systematically maximizing the performance of deep learning models.

An extremely fast Python linter and code formatter, written in Rust.

The configuration for my linux

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

GPU Accelerated t-SNE for CUDA with Python bindings

Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting

Bayesian Deep Learning: A Survey

A minimalist Jekyll theme for running a personal blog powered by Jekyll and GitHub Pages

A simple chrome extension to present the number of available code implementions (via Papers With Code) for articles listed on Google Scholar.