ArtechStark

ML-Tutorial-Experiment

Coding the Machine Learning Tutorial for Learning to Learn

LSTM-Human-Activity-Recognition

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

Corr_Prediction_ARIMA_LSTM_Hybrid

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

100-Days-Of-ML-Code-1

100-Days-Of-ML-Code中文版

Artificial-Intelligence-Terminology

The English-Chinese paired terminologies in Artificial Intelligence Domain

facenet_facerecognition

基于facenet的实时人脸识别系统

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

fast-neural-style

Feedforward style transfer

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

DeepInterests

深度有趣

pix2pix

Image-to-image translation with conditional adversarial nets

CS-Notes

:books: Computer Science Learning Notes

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

tensorflow.cifar10

The examples of image recognition with the dataset CIFAR10 via tensorflow.

nowcoder

牛客网部分编程题参考代码。字节跳动（今日头条）内推码：GWTCRED

FaultMap

Graph and information theory based fault detection and diagnosis from historian time series data

2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

convnet_layer_output_visualization

A tool to visualize convolutional layer activations on an input image.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

GANs_for_data_augmentation

Tensorflow-101

TensorFlow Tutorials

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

CS1001.py

Recitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University

mixup

Implementation of the mixup training method

notes-python

中文 Python 笔记

adversarial

GAN创始论文对应的代码 Code and hyperparameters for the paper "Generative Adversarial Networks"

GAN-1D

using WGAN to generate fault bearing vibration signals

tensorflow-lstm-regression

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow