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Notebooks and code for the book "Introduction to Machine Learning with Python"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Mastering Object-Oriented Python - Second Edition, published by Packt
Matplotlib for Python Developers, Second Edition by Packt
Examples of matplotlib codes and plots
Repository containing notebooks of my posts on Medium
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A set of Python modules and Jupyter notebook exploring the potential of Machine Learning for downscaling seasonal climate forecast models
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Fast and easy analysis of netCDF data in Python
Python library to train neural networks with a strong focus on hydrological applications.
Sample code from the Neural Networks from Scratch book.
Neural Networks from Scratch in various programming languages
Notebooks of papers from the SantanderMetGroup
Errata for Algorithms for Optimization book
A hyperparameter optimization framework
Fork from https://gitlab.idiap.ch/rli/pbdlib-python
Play with neural networks!
"Probabilistic Machine Learning" - a book series by Kevin Murphy
pytorch implemention of trajGRU.
Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest
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.