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-tensorflow-implementations

-tensorflow-implementations

adverserial-autoencoder-keras

Keras Implementation of adverserial autoencoder (AAE)

anomagram

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

bayes-nn

Lecture notes on Bayesian deep learning

bayesian-for-hackers-korean

베이지안 기법, 그리고 확률 프로그래밍을 구현하면서 익히는 입문서! 이 모든 것을 파이선으로 :)

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bokeh

Interactive Data Visualization in the browser, from Python

bokeh-python-visualization

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

cs20

CS20 : Tensorflow for Deep Learning Research의 내용 및 코드를 정리

deep-generative-models

Deep Generative Models

deep-learning-papers

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning_lecture

tensorflow etc.

deeprl__tutorial

densenet-tensorflow

Simple Tensorflow implementation of "Densenet" using Cifar10, MNIST

error-encoding-network-tensorflow-implementation

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 :

examples

Learn to create a desktop app with Python and Qt

fluent_python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-generative-model

PyTorch를 활용한 Generative Model 입문 CAMP (실습자료)

introduction-to-artificial-intelligence-machine-learning

keras-anomaly-detection

Anomaly detection implemented in Keras

lasso

lectures

Deep Learning College 강의모음

lstm-autoencoders

Anomaly detection for streaming data using autoencoders

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

modulabs_log

Modulabs SafeAI Lab logs

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

opentutorials_pyqt

OpenTutorials 만들면서 배우는 PyQt 예제