guangyangai
Stanford PhD graduate in energy resources engineering, working now in a healthcare tech start up in Boston, doing self driving and finance related side projects
Boston,MA
guangyangai's Stars
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
fastnlp/fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
aws-samples/anomaly-detection-spatial-temporal-data-workshop
zhjwy9343/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.
happyharrycn/actionformer_release
Code release for ActionFormer (ECCV 2022)
dbiir/UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
michiyasunaga/LinkBERT
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
girliemac/a-picture-is-worth-a-1000-words
I am trying to describe complex matters in simple doodles!
yuetan031/TADDY_pytorch
A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Vegetebird/MHFormer
[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
awslabs/quantum-computing-exploration-for-drug-discovery-on-aws
Deploy a solution to research on drug discovery problems using quantum computing and classical computing resources.
zsh-users/zsh-syntax-highlighting
Fish shell like syntax highlighting for Zsh.
peng-zhihui/ElectronBot
numenta/NAB
The Numenta Anomaly Benchmark
mli/paper-reading
深度学习经典、新论文逐段精读
awslabs/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
aws/graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
awslabs/realtime-fraud-detection-with-gnn-on-dgl
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon 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.
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
manjunath5496/Data-Science
"All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration." ― Damian Mingle
awslabs/sagemaker-dashboards-for-ml
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
hubbs5/or-gym
Environments for OR and RL Research
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition