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Advanced Deep Learning with Keras, published by Packt
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
A curated list of awesome quantum computing learning and developing resources.
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Chapterwise code available in the book
An NLP workshop about concrete solutions to real problems
Docker container with Jupyter Environment for Coursera "Advanced Machine Learning" specialization.
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
Repo for the Deep Learning Nanodegree Foundations program.
Introduction to Deep Neural Networks with Keras and Tensorflow
Keras code and weights files for popular deep learning models.
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Repo for the Deep Reinforcement Learning Nanodegree program
Code and other material for the book "Deep Learning and the Game of Go"
Notebooks from the free course Deep Reinforcement Learning with Tensorflow
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Jason Brownlee의 Deep Learning with Python에 소개된 내용을 .ipynb로 옮겨서 따라하기 쉽게 만드는 작업
TensorFlow for Deep Learning Book
Simple and comprehensive tutorials in TensorFlow
edX course on "Quantum Machine Learning"
Simple one-dimensional example using GANs
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
this repository accompanies my forthcoming book "Grokking Deep Learning"
A toolkit for developing and comparing reinforcement learning algorithms.
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.