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matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

meprop

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

mixhop

Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

mixhop-and-n-gcn

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmdetection

OpenMMLab Detection Toolbox and Benchmark

motif-based-pagerank

multi-agent-distributed-inference-sheng-

must-read-papers-and-continuous-tracking-on-graph-neural-network-gnn-progress

Papers on Graph neural network(GNN)

nadeef

A Generalized Data Cleaning System

nlah

Non-local Attention Learning on Large Heterogeneous Information Networks (IEEE BigData 2019)

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

ocan

OCAN: One-Class Adversarial Nets for Fraud Detection

ode2vae

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

pa-gnn

Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".

pane

Scaling Attributed Network Embedding to Massive Graphs

paperreading

pdfs

pprgo_pytorch

PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

practical-machine-learning

Practical machine learning notebook & articles covers the machine learning end to end life cycle.

practical-ml-streaming-data-python

Source Code for 'Practical Machine Learning for Streaming Data with Python' by Sayan Putatunda

pro-gnn

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pycls

Codebase for Image Classification Research, written in PyTorch.

pyod

(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

python

All Algorithms implemented in Python

pythondocument

translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~

pytorch-agnn

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

pytorch-biggraph

Generate embeddings from large-scale graph-structured data.

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.