Coding the Machine Learning Tutorial for Learning to Learn
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
The English-Chinese paired terminologies in Artificial Intelligence Domain
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Feedforward style transfer
Image-to-image translation with conditional adversarial nets
:books: Computer Science Learning Notes
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
The examples of image recognition with the dataset CIFAR10 via tensorflow.
Graph and information theory based fault detection and diagnosis from historian time series data
2018 phm data challenge, ion mill machine RUL & fault diagnosis
A tool to visualize convolutional layer activations on an input image.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Minimal, clean example of lstm neural network training in python, for learning purposes.
Recitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University
Implementation of the mixup training method
中文 Python 笔记
GAN创始论文对应的代码 Code and hyperparameters for the paper "Generative Adversarial Networks"
using WGAN to generate fault bearing vibration signals
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow