Pinned Repositories
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.
awesome-neuralpointprocess
A curated list of resources dedicated to Neural Point Process
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
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
Paperlist-for-Recommender-Systems
Recommender Systems Paperlist that I am interested in
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)
manishadubey91's Repositories
manishadubey91/Paperlist-for-Recommender-Systems
Recommender Systems Paperlist that I am interested in
manishadubey91/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
manishadubey91/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
manishadubey91/Temporal-Point-Process-TPP-
This repository contains recent background materials, current works, and codes for researching in TPP.
manishadubey91/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
manishadubey91/acml2022
manishadubey91/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
manishadubey91/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
manishadubey91/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
manishadubey91/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
manishadubey91/DAN-SNR
A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation
manishadubey91/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
manishadubey91/DoYouEvenLearn
Essential Guide to keep up with AI/ML/DL/CV
manishadubey91/fast-template
manishadubey91/fast_template
A template for really easy blogging with GitHub Pages
manishadubey91/gated_gcrnns
Gated graph convolutional recurrent neural networks code used in:
manishadubey91/GEmodel-CIKM16-Reproduce
本仓库是对CIKM16文章(Learning Graph-based POI Embedding for Location-based Recommendation)的复现
manishadubey91/GeoSAN
Code for KDD '20 paper "Geography-Aware Sequential Location Recommendation"
manishadubey91/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
manishadubey91/gtos
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
manishadubey91/hierarchical_fashion_graph_network
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020
manishadubey91/LR
manishadubey91/manisha_blog
manishadubey91/manishadubey91.github.io
manishadubey91/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.
manishadubey91/Point-of-Interest-Recommendation
Next location prediction based on Theano
manishadubey91/pysal-spatialapi20
manishadubey91/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.
manishadubey91/STACP
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
manishadubey91/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method