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Notebooks related to Bayesian methods for machine learning
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Data Science for Good Projects
Data Scientist Interview Offline Exercise
A library for debugging/inspecting machine learning classifiers and explaining their predictions
The fastai deep learning library, plus lessons and tutorials
A robot powered training repository :robot:
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Notes for machine learning
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Edx MIT course - Introduction to ML packages for the 6.86x course
Minimal and clean examples of machine learning algorithms implementations
Open Machine Learning Course
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
A python package for estimating conditional logit models.
scikit-learn: machine learning in Python
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" 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.