Jian Zhang (James)'s repositories
realtime-fraud-detection-with-gnn-on-dgl
An end-to-end solution for real-time fraud detection(leveraging graph database Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aster.pytorch
ASTER in Pytorch
Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
course-nlp
A Code-First Introduction to NLP course
Data-Copilot
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
dgl4jsf
Tutorial materials for JSFund
ERNIE-Pytorch
ERNIE Pytorch Version
graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
Graph-Structure-Estimation-Neural-Networks
Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
ml_tutorial_pulsars
Tutorial On Introduction to Machine Learning for Pulsar Candidate Identification
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Pro-GNN
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
tutorial-template
Template for the Read the Docs tutorial