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semi supervised guided topic model with custom guidedLDA
Here are solutions and databases from Hackerrank Certification Tests.
Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai
Movie recommendation system to predict movies based on title and user preferences
A repository for a machine learning project about creating a hybrid movie recommender system.
CNN image classifier implemented in Keras Notebook 🖼️.
Predict which products will an Instacart consumer purchase again. (Machine Learning)
A proof-of-concept jupyter extension which converts english queries into relevant python code
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments
Master in Data Science Final Project
Topic modeling with latent Dirichlet allocation using Gibbs sampling
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Jupyter notebooks for teaching/learning Python 3
Implementation of different ML Algorithms from scratch, written in Python 3.x
machine learning and deep learning tutorials, articles and other resources
Repository for the Practices of the Recommendation Engines Course
Microwave and Antenna Engineeering Works/Studies and Data Visualizations
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
Multi Destination Trips dataset for research purposes - fully anonymized, sampled, limited
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
:fire: A series of code examples for all sorts of machine learning tasks and applications.
📺 A place to discover the latest machine learning courses on YouTube.
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
Code samples for my book "Neural Networks and Deep Learning"
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.