Jianan Zhou (RoyalSkye)

RoyalSkye

Geek Repo

Company:Nanyang Technological University

Location:Singapore

Home Page:https://royalskye.github.io

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Organizations
ai4co

Jianan Zhou's starred repositories

MatNet

codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"

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POT

POT : Python Optimal Transport

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ROCO

Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs".

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DIFUSCO

Code of NeurIPS paper: arxiv.org/abs/2302.08224

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SFAT

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

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Awesome-Mixture-of-Experts-Papers

A curated reading list of research in Mixture-of-Experts(MoE).

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mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

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decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

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rezero

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

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tspgen

TSP benchmark problem generator written in pure R.

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learning-to-delegate

[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

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VRPLIB

Python package to read and write vehicle routing problem instances.

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PyHygese

A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

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PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

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diffusion_priors

Using pre-trained Diffusion models as priors for inference tasks

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AMDKD

The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.

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Awesome-Deblurring

A curated list of resources for Image and Video Deblurring

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ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

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poppy

:hibiscus: Population-Based Reinforcement Learning for Combinatorial Optimization

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HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

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tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

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OpenPSG

Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22

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digital-image-processing

A python code of digital image processing video series on my YouTube channel

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MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

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group_DRO

Distributionally robust neural networks for group shifts

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ntu-graduate-courses

Graduate-Level Courses (Electrical Engineering & Computer Science) at NTU, Singapore

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TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

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