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KERL

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

PRML

PRML algorithms implemented in Python

TASTE

Code accompanying our ACM CHIL paper: "TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records"

AC_TPC

AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression

adaptive_transformer

Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)

Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Awesome-pytorch-list-CNVersion

Awesome-pytorch-list 翻译工作进行中......

Chinese_medical_NLP

中文医疗NLP领域 数据集，论文 ，知识图谱，语料，工具包

circEWS

circEWS public code

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

EGATMDA

google-research

Google Research

GraphSleepNet

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

HypnosPy

A Device-Agnostic, Open-Source Python Software for Wearable Circadian Rhythm and Sleep Analysis and Visualization

KGNN

Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"

lihang-code

《统计学习方法》的代码实现

MeicalChatbot-HRL

This is the code for the task-oriented dialogue system via HRL

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

numpy-ml

Machine learning, in numpy

ode-lstms

Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

PathCon

Combining relational context and relational paths for knowledge graph completion

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

S2-BNN

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

sunrise

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

warpgrad

Meta-Learning with Warped Gradient Descent