SparseL's repositories

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their Large-Scale versions/variants.

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Awesome-Deep-Community-Detection

Deep Learning for Community Detection: Progress, Challenges and Opportunities (IJCAI-2020)

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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awesome-equivariant-network

Paper list for equivariant neural network

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Awesome-Evolutionary-Reinforcement-Learning

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

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Awesome-GFlowNets

A curated list of resources about generative flow networks (GFlowNets).

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Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

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awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

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deap

Distributed Evolutionary Algorithms in Python

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evosax

Evolution Strategies in JAX 🦎

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evox

Distributed GPU-Accelerated framework for Evolutionary Computation. Features a vast library of Evolutionary Algorithms & Benchmark Problems.

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gflownet

Generative Flow Networks

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Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

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graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

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GreatX

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

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karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

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LMaaS-Papers

Awesome papers on Language-Model-as-a-Service (LMaaS)

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MetaBox

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)

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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

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Time-Series-Library

A Library for Advanced Deep Time Series Models.

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time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

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xgi

CompleX Group Interactions (XGI) provides an ecosystem for the analysis and representation of complex systems with group interactions.

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