hu-guanwei

hu-guanwei's Stars

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  187k2.9k15124.5k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.1k1.9k1359k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala61.8k37396612.2k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python52.3k4351305.4k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.5k2738503k

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10k101362.2k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.6k367462.5k

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.1k1571942k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7k139641k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.1k55701.2k

• zan8in/afrog

  A Security Tool for Bug Bounty, Pentest and Red Teaming.

  Language:Go3.3k55102370

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.8k1771686

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.4k3387547

• Eventual-Inc/Daft

  Distributed DataFrame for Python designed for the cloud, powered by Rust

  Language:Rust1.9k17563122

• nestjs/typeorm

  TypeORM module for Nest framework (node.js) 🍇

  Language:TypeScript1.9k31250204

• ShieldMnt/invisible-watermark

  python library for invisible image watermark (blind image watermark)

  Language:Python1.5k1529139

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python6091022148

• cleverhans-lab/machine-unlearning

  Language:Python1544534

• AI4Risk/antifraud

  A repository for financial fraud detection

  Language:Python15141638

• shuxinyin/Graph-Learning

  Graph model implementation

  Language:Python1332020

• chuanyangjin/NYU-Course-Notes-and-Resources

  NYU Course Notes & Resources

  Language:Jupyter Notebook1283037

• HuichuanLI/Recommand-Algorithme

  推荐算法实战(Recommend algorithm)

  Language:Jupyter Notebook1133023

• zixi-liu/Fraud-Detection-Papers

  Learning Fraud Detection from research papers and industry applications.

  Language:Jupyter Notebook885017

• arjun-menon/Distributed-Graph-Algorithms

  🌳 A collection of distributed graph algorithms, implemented in Python/DistAlgo

  Language:Python644019

• wey-gu/NebulaGraph-Fraud-Detection-GNN

  An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGraph Database and DGL.

  Language:Jupyter Notebook32173

• njmarko/machine-learning-with-graphs

  My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

  Language:Jupyter Notebook27303

• wey-gu/fraud-detection-datagen

  Fraud detection data generation with configurable degree distribution& community structure, ready for NebulaGraph.

  Language:Python22177

• HuichuanLI/Spark-in-machine-learning

  use pysprark to do machine learning

  Language:Jupyter Notebook3201

• canVa4/CS224w

  Homeworks for CS224w 2019

  Language:Python20

• spatank/CIS-530

  Computational Linguistics

  Language:Jupyter Notebook120