troublem1 Goto Github PK
Name: Siaw-Darko Emmanuel
Type: User
Bio: Love working with data , generating insights and statistical Info and above all building models that actually make predictions based on past data
Location: Ghana
Name: Siaw-Darko Emmanuel
Type: User
Bio: Love working with data , generating insights and statistical Info and above all building models that actually make predictions based on past data
Location: Ghana
Flask Rest API
Simple chatbot implementation with PyTorch.
PyTorch tutorial for learners
Pytorch implementation of recommender systems
Recommender System including multiple algorithms (PyTorch Based)
Recommender System Model using Stacked Autoencoder
A recommender system in PyTorch from scratch.
Pytorch Recommender System using MovieLens100k dataset
Recommender system with RNN in PyTorch
Scalable hashtag recommender system based on mini-batch fast k-means and neural networks
Serverless Template for a Flask application
A scikit-learn compatible Python toolbox for machine learning with time series
A series of tutorials for NASA International Space Apps Challenge
Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face. In a time of concerns about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not. Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.
This solution rank 3rd place in predicting the likelihood of credit default of ecommerce clients
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分
Tutorial materials for PyTorch for Recommender Systems from Strata 2018 San Jose
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
TensorFlow 2.x Jupyter Notebooks
Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP
Supplemental material for Udacity's "Writing READMEs" course
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.