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administrative-divisions-of-china

中华人民共和国行政区划：省级（省份）、 地级（城市）、 县级（区县）、 乡级（乡镇街道）、 村级（村委会居委会） ，**省市区镇村二级三级四级五级联动地址数据。

algs4-py

A Python library for the textbook Algorithms, 4th edition

behavior-sequence-transformer-pytorch

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

compmirrors

cpm_nets

The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

dbscan

Python implementation of 'Density Based Spatial Clustering of Applications with Noise'

deep_gcn_benchmarking

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

deepimv

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

doing_the_phd

fista

Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.

gae

Implementation of Graph Auto-Encoders in TensorFlow

gbst

GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost

grape

graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

graphmae2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

gsnn

ksido_for_bearing_fault_diagnosis_with_imbalanced_data

kwaisurvival

lhgn_tmm_2022

Latent Heterogeneous Graph Network for Incomplete Multi-View Learning (IEEE TMM 2022)

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

machine-learning-notes

白板推导系列课程笔记 初版

maxp-dgl-solutions

mdas_for_prognostics_of_machinery

mfsicc_for_fault_diagnosis

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

online-linear-programming-and-resource-allocation

Project for CME 307