shchur

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

overlapping-community-detection

Implementation of "Overlapping Community Detection with Graph Neural Networks"

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

tpp-anomaly-detection

Implementation of "Detecting Anomalous Event Sequences with Temporal Point Processes" (NeurIPS 2021)

triangular-tpp

Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)

survival_distributions

Extended functionality for univariate probability distributions in PyTorch

shchur.github.io

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

autogluon-cloud

Autogluon-cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on the cloud without worrying about MLOps details such as resource management

autogluon-doc-utils

automlbenchmark

OpenML AutoML Benchmarking Framework

gluonts

Probabilistic time series modeling in Python

sktime

A unified framework for machine learning with time series

hydra

Hydra is a framework for elegantly configuring complex applications

nixtla

Python SDK for TimeGPT, a foundational time series model

tabrepo

tsbench