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Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
Deep RL, CL, everything worth sharing/learning from
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Deep Learning for Computer Vision, by Packt
Util methods for Deep Learning
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
A curated list of deep learning tutorials, projects and other resources
Introduction to Deep Neural Networks with Keras and Tensorflow
Includes codes and my work with DeepL libraries (currently: PyTorch)
Implementations of popular deep learning models in Theano+Lasagne
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning Specialization by Andrew Ng on Coursera.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code repository for Deep Learning with Keras published by Packt
Deep Learning with TensorFlow 2 and Keras, published by Packt
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Repo for the Deep Reinforcement Learning Nanodegree program
Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
Hands-on Deep Reinforcement Learning, published by Packt
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
A collection of various deep learning architectures, models, and tips
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
Implementation of recent Deep Learning papers
Kaggle's competition for using Google's word2vec package for sentiment analysis
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Deep Learning Tutorial notes and code. See the wiki for more info.
TensorFlow Basic Tutorial Labs
Simple deep links to any selection of text on your website.
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
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.