evan (evantianzg)

evantianzg

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evan's repositories

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AlgoNotes

公众号【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容

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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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AutoGL

An autoML framework & toolkit for machine learning on graphs.

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avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

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awesome-blockchain-papers

A curated list of academic blockchain-related papers

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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

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awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

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Awesome-Incremental-Learning

Awesome Incremental Learning

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awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

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benchmarking-gnns

Repository for benchmarking graph neural networks

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blockapi

A general framework for blockchain analytics

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BlockSci

A high-performance tool for blockchain science and exploration

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continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

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cs231n.github.io

Public facing notes page

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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DIG

A library for graph deep learning research

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ethereum-etl

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

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GNN4NLP-Papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

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GNNPapers

Must-read papers on graph neural networks (GNN)

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GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs).

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GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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OCGNN

my implement of my paper

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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

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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scikit-learn

scikit-learn: machine learning in Python

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stellargraph

StellarGraph - Machine Learning on Graphs

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