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announcement

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

battery-health-management

The project realizes the health management and life prediction of lead-acid batteries

bimef

Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

cnn-astlstm

Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"

compressai

A PyTorch library and evaluation platform for end-to-end compression research

daily_code

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

face_recognition

世界上最简单的Python和命令行面部识别api

fsfc

Feature Selection for Clustering

lead_acid_battery_data

Script for importing, visualizing, and conducting basic battery data analysis from current/voltage data acquired for a full charge/discharge cycle of 100Ah Universal lead-acid battery.

license-plate-recognition-by-matlab

基于MATLAB的车牌识别系统

low-light-image-enhancement

TIP 2018

lstm_fusion

data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"

machine-learning-with-python

Python code for common Machine Learning Algorithms

neuralgenetic

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

nn_and_wnn

通过反向传播算法实现神经网络和小波神经网络。Implement neural network and wavelet neural network through back-propagation algorithm. Реализация нейронных сетей и вейвлет-нейронных сетей с помощью метода обратного распространения ошибки.

online-recurrent-extreme-learning-machine

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

pytorch-lstm-for-rul-prediction

PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

turboae

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019

vehicle-license-plate-recognition

基于数字图像处理和深度学习的车牌定位，字符分割和字符识别项目，包含项目收集数据集和cnn模型，以及项目的说明资料