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Advanced Machine Learning Specialization on Coursera
This is the source code for a Color Switch replica created during a Twitch Livestream.
Public facing notes page
Materials for a short course on convex optimization.
Data Science Using Python
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Demo for Github
The fastai deep learning library, plus lessons and and tutorials
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Notebooks and code for the book "Introduction to Machine Learning with Python"
This is a not-particularly-systematic attempt to curate a handful of my favorite resources for learning statistics and machine learning. This isn’t meant to be comprehensive, and in fact is still missing the vast majority of my favorite explainers. Rather, it’s just a smattering of resources I’ve found myself turning to multiple times and thus would like to have in one place.
Resources for "Natural Language Processing" Coursera course.
YSDA course in Natural Language Processing
Numerical Tours of Signal Processing
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Machine Learning and Reinforcement Learning in Finance, New York University-Tandon School of Engineering.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
scikit-learn-mooc
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
Materials for my scikit-learn tutorial
PyTorch implementation of residual gated graph ConvNets, ICLR’18
Implementation of Spectral Inference Networks, ICLR 2019
https://www.cscs.ch/events/past-events/event-detail/efficient-and-distributed-training-with-tensorflow-on-piz-daint/
Slides and code from our TensorFlow workshop.
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.