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-tensorflow-implementations
Keras Implementation of adverserial autoencoder (AAE)
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
Anomaly detection related books, papers, videos, and toolboxes
Lecture notes on Bayesian deep learning
베이지안 기법, 그리고 확률 프로그래밍을 구현하면서 익히는 입문서! 이 모든 것을 파이선으로 :)
A Python implementation of global optimization with gaussian processes.
Interactive Data Visualization in the browser, from Python
A Bokeh project developed for learning and teaching Bokeh interactive plotting!
CS20 : Tensorflow for Deep Learning Research의 내용 및 코드를 정리
Deep Generative Models
A paper list of object detection using deep learning.
tensorflow etc.
Simple Tensorflow implementation of "Densenet" using Cifar10, MNIST
This is a tensorflow implementation of EEN which was originally developed by Mikael Henaff, Junbo Zhao and Yann LeCun from Facebook AI Research, Courant Institute, New York University. Implemented by James Youngchae Chee. Original work :
Learn to create a desktop app with Python and Qt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
PyTorch를 활용한 Generative Model 입문 CAMP (실습자료)
Anomaly detection implemented in Keras
Deep Learning College 강의모음
Anomaly detection for streaming data using autoencoders
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Modulabs SafeAI Lab logs
A simple and effective method for detecting out-of-distribution images in neural networks.
OpenTutorials 만들면서 배우는 PyQt 예제
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.