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algorithms

Solutions for Algorithms Stanford Course By Tim Roughgarden on Coursera

azuregithubactionsoidcconnect

bo-lift

BayesOpt + LIFT

causalml

Uplift modeling and causal inference with machine learning algorithms

coursera_algorithms

codes for coursera algorithms

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dig

A library for graph deep learning research

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

fmg

KDD17_FMG

gamenet

GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination

graphgpt

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

graphreasoning

herec

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

heterec

File for recommendation generation using HeteRec

ils-csl

Supplementary materials and codes for the paper "Causal Structure Learning Supervised by Large Language Model"

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

jaal

Your interactive network visualizing dashboard

kgc-2023-yelp-gnn

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

llama2-chatbot

LLaMA v2 Chatbot

llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

neuacf

Implementation of paper Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks

perplexica

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

pysclump

Python Implementation of 'Spectral Clustering in Heterogeneous Information Networks'.

recbole

A unified, comprehensive and efficient recommendation library

recommender-systems-for-implicit-feedback-datasets

Matrix Factorization augmented with customer item meta data

recommenders

Best Practices on Recommendation Systems

rel

REL: Radboud Entity Linker

spotlight

Deep recommender models using PyTorch.

tensorflow-recommendation-wals

An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at: