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demo-image-classification-fastai

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

enginefailureprediction

Prediction of Running Useful Life Left in Engine

exploring-maximum-mean-discrepancy-based-descriptive-neural-image-style-transfer-using-pytorch

failure-prediction-model

Maximize Energy Company's Profits via Machine Learning

fastai

The fastai deep learning library, plus lessons and tutorials

geneticalgorithmpython

Genetic Algorithm Implementation in Python using NumPy

graphvite

GraphVite: A General and High-performance Graph Embedding System

hands-on-artificial-intelligence-for-iot

Hands-On Artificial Intelligence for IoT, published by Packt

hands-on-transfer-learning-with-python

Hands On Transfer Learning with Python, published by Packt

hands-on-transfer-learning-with-python-1

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

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.

hartransferlearning

Transfer Learning from one dataset to another different dataset using Maximum Mean Discrepancy (MMD)

hello-world

the first total repository

jd-text-categorization-notes

pytorch,Text Categorization,1D-CNN,LSTM,BLSTM

jdda-master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

learn-to-select-data

Code for Learning to select data for transfer learning with Bayesian Optimization

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

lstms_for_predictive_maintenance

LSTMS for Predictive Maintenance

machine-learning

my machine-learning tutorial

machine-learning-with-python

Python code for common Machine Learning Algorithms

machine_learning_code

机器学习与深度学习算法示例

machine_learning_pytorch_simple_cnn_1d_nlp

The purpose of this notebook is to demonstrate how to build a simple one dimensionnal CNN to do text classification. The dataset used in this notebook is the "Twitter Sentiment Analysis" dataset. The goal of the network is to be able to predict whether a given has a positive or a negative sentiment.

mann

Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

manufacturing-performance-improvement

Prediction of manufacturing failure to improve production line performance

marine

Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy

maximum-mean-discrepancy-variational-autoencoder

A PyTorch implementation of the MMD-VAE, an Information-Maximizing Variational Autoencoder (InfoVAE) based off of the TensorFlow implementation published by the author of the original InfoVAE paper.

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation