Jacky0Lee

Jacky0Lee's Stars

• tensorchiefs/dl_book

  legend

  Language:Jupyter Notebook197106

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.2k1.1k

• jackhcollins/BNN-significance

  Language:Jupyter Notebook1

• JAKravitz/WQ_machine_learning

  Working scripts for development of deep learning water quality retrieval for hyperspectral data

  Language:Python6

• tr7200/CBNN_SEM_loss_convergence

  Code accompanying my 2021 ASA SDSS paper

  Language:Python52

• marcin-jasinski/cnn_data_streams

  Raw results and graphs for my master's thesis carried out during studies at the Wrocław University of Technology.

  Language:Python1

• frank0532/Bayesian_Neural_Networks

  implement bayesian neural networks on tensorflow.

  Language:Jupyter Notebook164

• Zhouzihao914/Few-shot-Cross-Domain-Battery-Capacity-Estimation

  The codes for Few-shot Cross Domain Battery Capacity Estimation paper

  Language:Python42

• hilbert-qyw/Soc-SoH-Estimation-Li-ion-Python

  1. SoC and SoH estimation of Li-ion Batteries 2. Establishing serial port communication for receiving data. 3. Estimation, manipulating and plotting of data using Python. 4. Executing Kalman Filter algorithm for SoC and compare it with Coulomb Count and general dataset. 5. Using SVR machine learning model for various battery datasets.

  475

• liguge/Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-

  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断

  Language:Python19230

• liguge/Fault-diagnosis-for-small-samples-based-on-attention-mechanism

  基于注意力机制的少量样本故障诊断 pytorch

  Language:Python19112

• silence-club/DRSN-1D

  深度残差收缩网络处理一维时域信号

  Language:Python35

• Lipenghua-CQ/CNN-ASTLSTM

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

  Language:Python9320

• petermattia/revisit-severson-et-al

  Repository for the paper "Statistical learning for accurate and interpretable battery lifetime prediction"

  Language:Jupyter Notebook5014