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a-pgnn

Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

ai-hackathon-2018

"한계를 넘어 상상에 도전하자!" 네이버 AI 해커톤 2018

auto-sklearn

Automated Machine Learning with scikit-learn

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-operations

a curated list of awesome resources to deploy, monitor, version and scale your machine learning (ML + DevOps = MLOps)

awesome-review

Read the paper and review the code

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

benchmarking-gnns

Repository for benchmarking graph neural networks

bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

buffalo

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

ce7454_2020

Deep learning course CE7454, 2020

celery

Distributed Task Queue (development branch)

chatgpt

Reverse engineered ChatGPT API

comet-atomic-2020

configspace

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

daisyrec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

data-tutorials

Hortonworks tutorials

data-validation

Library for exploring and validating machine learning data

deep-learning-bookmarks

Deep Learning Bookmarks

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning-models

A collection of various deep learning architectures, models, and tips

dgl

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

dgl-gtc2019

Materials for DGL Instructor-led training at GTC 2019

dgtn

[ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"

dive-backend

Codebase for DIVE backend (server, worker, and ORM)