manishadubey91 Goto Github PK

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

curious-case-of-intersection-of-point-process-and-machine-learning

Figuring out best technique to predict useful churn prediction problems like student drop out from school

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

deep-learning-drizzle

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

doyouevenlearn

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

erpp-rmtpp

A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.

fairness

Repo for GIAN fairness course

fast-template

fast_template

A template for really easy blogging with GitHub Pages

featuredriven-hawkes

Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction

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"

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

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

lda

location-based-recommendations

Tutorial on how to create location based recommendations.

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.

neural-network-papers