rehan-ai Goto Github PK
Type: User
Bio: email: [email protected]
Type: User
Bio: email: [email protected]
EDA & Classification on Google Play Store Apps
A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation
Usecase Examples for AquilaDB
An Attention-Based User Behavior Modeling Framework for Recommendation
Awesome PyTorch
TensorFlow - A curated list of dedicated resources http://tensorflow.org
The 3rd edition of course.fast.ai
Data science interview questions with answers. Not ideally (yet)
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
A repo for data science related questions and answers
common data analysis and machine learning tasks using python
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Deep Learning Cookbox
These are my personal notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
🚀 😏 Near Real Time CPU Face detection using deep learning
Pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
A music recommendation system based on the number and type of songs that the user listened to | Achieved ~90% AUC for ~40,000 users and ~100,000 artists
Learning to rank with neuralnet - RankNet and ListNet
A List of Recommender Systems and Resources
Pytorch implementation of the Loc2Vec with some modifications for speed
Finding similar, high-valued users based on seed users. The model includes 1805 features using Hive HQL and AWS Redshift.
Finding customer lookalikes (similar customers) in a Big Data environment
Electricity load forecasting with LSTM (Recurrent Neural Network)
This repository is to prepare for Machine Learning interviews.
Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019
:bowtie: Machine Learning Competition Codes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.