ruiwangcl

graph_ml

Projects that involve graph datasets

node2vec

Implementation of the node2vec algorithm.

AttentionWalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Walk-Transformer

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

grape

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

random-walk-embedding

A Broader Picture of Random-walk Based Graph Embedding

SurvivalAnalysisPapers

A list of papers/resources in Survival Analysis that I have read or would like to read.

ICD2Vec

RetainVis

An implementation of RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

Unsupervised_pre-training_of_graph_transformers_on_patient_population_graphs

Official github repository for the paper "Unsupervised pre-training of graph transformers on patient population graphs"

femr

FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records

tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

python-dlpy

The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.

models

Models and examples built with TensorFlow

pySankey

create sankey diagrams with matplotlib

Rare-disease-identification

Rare disease identification from free-text clinical notes with ontologies and weak supervision

mesh

Mesh TensorFlow: Model Parallelism Made Easier

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

GatorTron

all scripts used in gatortron project

Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

powerful-gnns

How Powerful are Graph Neural Networks?

planetoid

Semi-supervised learning with graph embeddings

hybrid_NN_HMM

Tensorflow implementation of the Hybrid NN-HMM model

FLAG

Official implementation of our FLAG paper (CVPR2022)