manishadubey91

Paperlist-for-Recommender-Systems

Recommender Systems Paperlist that I am interested in

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

Temporal-Point-Process-TPP-

This repository contains recent background materials, current works, and codes for researching in TPP.

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

acml2022

An-Attention-based-Spatiotemporal-LSTM-Network-for-Next-POI-Recommendation

A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

d2l-pytorch

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

DAN-SNR

A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation

Deep-and-Confident-Prediction-for-Time-Series-at-Uber

keras 实现Deep and Confident Prediction for Time Series at Uber中的结构

DoYouEvenLearn

Essential Guide to keep up with AI/ML/DL/CV

fast-template

fast_template

A template for really easy blogging with GitHub Pages

gated_gcrnns

Gated graph convolutional recurrent neural networks code used in:

GEmodel-CIKM16-Reproduce

本仓库是对CIKM16文章(Learning Graph-based POI Embedding for Location-based Recommendation)的复现

GeoSAN

Code for KDD '20 paper "Geography-Aware Sequential Location Recommendation"

Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

hierarchical_fashion_graph_network

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

LR

manisha_blog

manishadubey91.github.io

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Point-of-Interest-Recommendation

Next location prediction based on Theano

pysal-spatialapi20

Spatio-Temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

STACP

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method