as85207's repositories
Battery_Cycle_Life_Prediction_Pytorch
Life cycle prediction model for batteries
Cycle-life-model-for-graphite-LiFePO4-cells
State of charge and state of health estimation of Li-ion battery
12-Amazing-Pandas-NumPy-Functions
Code linked to the article published on medium.com
ATPBetting
A strategy for tennis matches betting
Battery-life-estimation
An neural network based algorithm to predict the remaining useful life of batteries.
battery-monitor
Battery monitor for laptops. Displays detailed statistics for battery life, remaining capacity, and charge/discharge rate.
Battery-RUL-predictions
Prediction of battery lifetimes based on a Recurrent Neural Network (RNN) architecture. Data publicly available here: https://doi.org/10.1038/s41560-019-0356-8
BatteryMachineLearning
Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles
CapstoneProject
Predicting the RUL of batteries using LSTM.
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
Convolutional-Neural-Network-CNN-based-Prediction-of-Life-of-Lithium-Ion-Battery
Capacity Estimation of Li-Ion batteries using Convolutional Neural Network(CNN)
Coursera-Deep-Learning-deeplearning.ai
（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习
COVID19-Death-rate
A Pytorch time series model that predicts deaths by COVID19 using LSTMs
deeplearningbook-chinese
Deep Learning Book Chinese Translation
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
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
Finding-remaining-useful-life-of-a-battery-using-particle-filter
Capacity values of Lithium Ion Battery is used as a prognostic method in order to predict the remaining useful life of Lithium-ion batteries. The state space model for Lithium Ion Battery to access Capacity Degradation is constructed using standard particle filter . Once the state space model is determined, the extrapolations of the state space model to a specific failure threshold are performed to obtain the remaining useful life of the lithium-ion batteries
graphic-deep-neural-network
将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解
Lithium-Ion-Battery-Deep-Neural-Network-
"Lithium-Ion Battery Life Prediction Based on Initial Stage-Cycles Using Machine Learning"--Deep Neural Model
Lithium-Ion-Battery-Naive-Bayes-
"Lithium-Ion Battery Life Prediction Based on Initial Stage-Cycles Using Machine Learning"--Naive Bayes Model
Lithium-Ion-Battery-PCA-
"Lithium-Ion Battery Life Prediction Based on Initial Stage-Cycles Using Machine Learning"--PCA Model
moviepy-cn
moviepy 中文手册
nnet-numpy
CNN、Linear网络纯numpy实现
numpy_neural_network
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...
Prediciton-of-lifetime-of-Li-ion-batteries
Given various measurements of a Li-ion battery during a limited amount of charging cycles,predict how many cycles has a battery cell lived through and how many cycles will it last before it breaks.
python-cheat-sheet
Python Cheat Sheet NumPy, Matplotlib
Shape-Detector
Detecting geometrical elements in scanned documents using OpenCV and ConvNets