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Advanced Deep Learning with Keras, published by Packt
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
How to Win a Data Science Competition: Learn from Top Kagglers
COMS W4995 Applied Machine Learning - Spring 20
A Code-First Introduction to NLP course
The 3rd edition of course.fast.ai
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Deep Learning with TensorFlow 2 and Keras, published by Packt
Deep Learning Cookbox
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
Notebooks for learning deep learning
The fastai deep learning library, plus lessons and tutorials
Starter app for fastai v3 model deployment on Render
Draft of the fastai book
Grokking Deep Reinforcement Learning
this repository accompanies the book "Grokking Deep Learning"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A collection of infrastructure and tools for research in neural network interpretability.
Learn how to responsibly deliver value with ML.
Introduction to Machine learning with Python, 4h interactive workshop
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
Advanced Machine Learning with Scikit-learn part I
Advanced Machine Learning with Scikit-learn part II
Open Machine Learning 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.