guangyangai

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

stable-diffusion-webui

Stable Diffusion web UI

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ColossalAI

Making large AI models cheaper, faster and more accessible

paper-reading

深度学习经典、新论文逐段精读

zsh-syntax-highlighting

Fish shell like syntax highlighting for Zsh.

a-picture-is-worth-a-1000-words

I am trying to describe complex matters in simple doodles!

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

ElectronBot

dlrm

An implementation of a deep learning recommendation model (DLRM)

fastNLP

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

UER-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

NAB

The Numenta Anomaly Benchmark

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

graph-notebook

Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.

MHFormer

[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

Agile_Data_Code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

actionformer_release

Code release for ActionFormer (ECCV 2022)

LinkBERT

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

or-gym

Environments for OR and RL Research

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.

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.

sagemaker-dashboards-for-ml

quantum-computing-exploration-for-drug-discovery-on-aws

Deploy a solution to research on drug discovery problems using quantum computing and classical computing resources.

TADDY_pytorch

A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

Data-Science

"All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration." ― Damian Mingle

anomaly-detection-spatial-temporal-data-workshop

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.