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autogl

An autoML framework & toolkit for machine learning on graphs.

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

causaltransformer

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

channel-lm-prompting

An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"

dirichlet-flow-matching

gnas-mp

Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)

good

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

graph-llm

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

intro-to-computer-systems

15-213计算机导论(深入理解计算机系统) lab

mamba

nas-bench-graph

nyc-taxi-fares

Investigation on Auto Feature Engineering

robustlearn

Robust machine learning for responsible AI

signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

singa

a distributed deep learning platform

tab-hgnn

te-cde

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)