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adversarial_autoencoder

Implementation of the Adversarial Autoencoder which uses the Generative Adversarial Networks(GAN) to perform variational inference by matching the aggregated posterior of the encoder with an arbitrary prior distribution

bearing_detection_by_conv1d

bigan.tensorlayer

A TensorLayer implementation of BiGAN (Adversarial Feature Learning).

csi-on-tensorflow

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

ganomaly-tensorflow

A tensorflow implement for ganomaly

house-price-prediction

An Idea behind this experiment is to deal with multiple inputs and mixed data (i.e. continuous, categorical and image data). In this experiment, we are going to develop and build 2 models: 1) MLP based model , and 2) Convolutional Neural Network (CNN) based model. In the end, we are going to combine these models into a single model.

ieee-phm-2012-data-challenge-dataset

Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute

machine-learning-notesandcode

机器学习学习笔记和代码

mixed-inputs-nn

mixedinputdeepnetwork

A SP Shape Classifier that takes both image and engineered features as input

mnist_generative

Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.

models

Models and examples built with TensorFlow

multiple_inputs_and_mixed_data

object-detection-fasterrcnn-tensorflow2

An implementation notebook of object detection using TensorFlow hub.

opencv

Keras Functional API for multiple inputs and mixed data

pinn_using_keras-a-simple-ode

Using Keras to construct a PINN to solve the ode

research_paper_data

Multi-input, Mixed Data NN Models for Solar Irradiance Prediction from Weather and Sky Image Data.

rnn-notebooks

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

tensorflow-mnist-aae

Tensorflow implementation of adversarial auto-encoder for MNIST

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow2.0-examples

🙄 difficult algorithm, simple code.

tensorflow2.0_resnet

A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.

tf2-ganomaly

Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

the-simplest-faster-rcnn

Faster-RCNN with only one page of jupyter notebook;只用一页jupyter notebook完成Faster RCNN

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

ustb

wavegan

WaveGAN: Learn to synthesize raw audio with generative adversarial networks

xlearn

Transfer Learning Library