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

PyTorch Tutorial for Deep Learning Researchers

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A high-performance topological machine learning toolbox in Python

Topological Graph Neural Networks (ICLR 2022)

Diachronic Embedding for Temporal Knowledge Graph Completion

AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)

Applied machine learning toolkit implementing Double Machine Learning for Energy Analytics.

Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"

BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21