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Just playing around with IBM Q and executing quantum circuits.
A Pytorch implementation of "Knowledge-Enhanced Ensemble Learning for Word Embeddings" (WWW 2019)
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
Best Practices on Recommendation Systems
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Checkpoint tutorial on FloydHub for Pytorch, Keras and Tensorflow.
Lectures on scientific computing with python, as IPython notebooks.
scikit-learn: machine learning in Python
Tutorial material on the scientific Python ecosystem
Sam Finlayson's Academic blog
The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).
A scikit-learn compatible neural network library that wraps pytorch
Solution for Quantum Computation and Quantum Information by Nielsen and Chuang
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Official Stanford NLP Python Library for Many Human Languages
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Tutorial on stats and probability
Personal reviews of popular MOOCs (Massive Open Online Courses) and study plans
Bot that trades any kind of asset based on support and resistance levels
An unofficial group of Udacity Alumni and Grow with Google Scholars staying connected through code and collaboration
An Open Source Machine Learning Framework for Everyone
This Repository contains all tensorflow tutorials.
Simple and ready-to-use tutorials for TensorFlow
TensorFlow Tutorials with YouTube Videos
Tensorflow implementations of Text Classification Models.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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.