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Tensorflow Implementation of Deep SVDD
Convolutional Neural Network for Text Classification in Tensorflow
CNNs for sentence classification
『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)
TensorFlow Basic Tutorial Labs
Example code for the book Fluent Python
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format
Keras Generative Adversarial Networks
Python package for Korean natural language processing.
머신러닝
mnist competition submission repo for Tensorflow KR group
Models and examples built with TensorFlow
Jupyter Notebooks for the Python Data Science Handbook
⭐️ Study - 모두를 위한 딥러닝 강의 by Sung Kim ( https://hunkim.github.io/ml/ )
How to use TensorFlow
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for beginners
Learning Machine Learning with TensorFlow
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
Simple tutorials using Google's TensorFlow Framework
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
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.