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Mining Association Rules and Frequent Itemsets with R
Automatic architecture search and hyperparameter optimization for PyTorch
Automated Machine Learning with scikit-learn
Data Centric AI resources
Reference to collection of Springer Books
A curated list of awesome Machine Learning frameworks, libraries and software.
My book list
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
1-day Deep Learning with R workshop at RStudio::conf 2019
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
A curated list of practical financial machine learning tools and applications.
Using TensorFlow to model cancer immunotherapy
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Feature Books for Machine Learning
A bookdown version of the UseR 2016 machine learning tutorial given by Erin LeDell
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Understand why employees leave a company and apply various machine learning models to predict the next leaver!
Python solutions to solve practical business problems.
Build your neural network easy and fast, 莫烦Python中文教学
Repo for the Workshop: "Artificial neural networks in R with Keras and TensorFlow" at the 2nd annual R in Pharma Conference Aug. 21st-23rd 2019 at Harvard University, Cambridge, US
R/Pharma Conference 2020. Repository for the workshop "Artificial Neural Networks in R with Keras and TensorFlow" by Leon Eyrich Jessen
Open Source Book project delivering a deep understanding on how the Supply Chain can be enhanced by the adoption of BlockChain technology
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Workshop R for Deep Learning with Tensorflow with Applications in Research & Scientific Computing
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.