aldro61

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

llama

Inference code for LLaMA models

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

awesome-causality-algorithms

An index of algorithms for learning causality with data

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

torchtyping

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

bnlearn

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

whynot

A Python sandbox for decision making in dynamics

mixtape

Data and Program files for Causal Inference: The Mixtape

cmu-10721-philosophy-machine-intelligence

Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".

hyppo

Python package for multivariate hypothesis testing

superheroes-deep-learning

Thrilling tales of heroic feats by ML's larger-than-life champions.

real-nvp-pytorch

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

pycorpora

A simple Python interface for Darius Kazemi's Corpora Project.

TACTiS

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

geo-bench

GEO-Bench: Toward Foundation Models for Earth Monitoring

azimuth

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

CausalBank

CausalBank dataset from our IJCAI 2020 paper "Guided Generation of Cause and Effect" https://www.ijcai.org/Proceedings/2020/502

topiocqa

Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset

synbols

The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.

fcit

A decision-tree based conditional independence test.

OfflineRLReadingGroup

Offline Reinforcement Learning Reading Group

cfl

causal_overhypotheses

Code for Dataset and Benchmarks Submission, Neurips 2022

typed-dag

Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.

causal_inference

Repository for my studies of Causal Inference

vax

bytesteady

A fast classification and tagging tool using byte-level n-gram embeddings. bytesteady is a ServiceNow Research project that was started at Element AI.

eeml-keynote

References