woaini12243

woaini12243's Stars

• windingwind/zotero-pdf-translate

  Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

  Language:TypeScript7.4k23801346

• guofei9987/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)

  Language:Python5.3k46178992

• VITA-Group/TransGAN

  [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

  Language:Python1.6k3370200

• chenhsuanlin/spatial-transformer-GAN

  ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing :eyeglasses: (CVPR 2018)

  Language:Python334133772

• ant-research/Pyraformer

  Language:Python25732940

• JingweiToo/Wrapper-Feature-Selection-Toolbox-Python

  This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

  Language:Python24952469

• hfawaz/aaltd18

  Data augmentation using synthetic data for time series classification with deep residual networks

  Language:Python183131242

• TRI-AMDD/beep

  Battery evaluation and early prediction

  Language:Python130127060

• asarigun/TransGAN

  This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.

  Language:Jupyter Notebook10731617

• ChickenBenny/Stock-prediction-with-GAN-and-WGAN

  stock prediction with GAN and WGAN

  Language:Jupyter Notebook872620

• Samuel-Buteau/universal-battery-database

  Open source Li-ion data management and modelling software

  Language:Python7745919

• HinokiBAI/NASA_Li-ion_Battery_SOH_Prediction_with_MVIP-Trans

  This research provides a prognostic framework for off-line SOH estimation of Li-ion battery. With a CNN-Transformer architecture, this program is capable of modeling the temporal correlations of battery signals from both local and global views. In this way, the learning ability of both local features and long period contexts will be enhanced.

  Language:Python711210

• rish-16/CycleGANsformer

  Unpaired Image-to-Image Translation with Transformer-based GANs in PyTorch [WIP]

  Language:Python59349

• amazon-science/transformer-gan

  Language:Python502611

• JCouture17/Hybrid_transfer

  Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction

  Language:MATLAB42203

• hilbert-qyw/Transfer-Learning-based-State-of-Health-Estimation-for-Lithium-ion-Battery

  Language:Python39122

• Txiaoxiao/LSTM-Neural-Network-for-Time-Series-Prediction

  Battery data processing.

  Language:Python251110

• swhlqu/Ultra-early-performance-prediction

  Data and code for the paper "Ultra-early prediction of lithium-ion battery performance using mechanism and data-driven fusion model"

  Language:Python24205

• rish-16/TransGAN-PyTorch

  [WIP] PyTorch implementation of the TransGAN paper

  Language:Python12315

• lscharwaechter/TransformerGAN

  This project aims to foster the usage of Transformers as generative models to sample artificial multivariate time series. Thereby, the latent space is shaped using a GAN-principle

  Language:Python10

• karthikmayil/learning-pseudo-ocv-curves

  Supervised Learning of Synthetic Big Data for Li-ion Battery Degradation Diagnosis

  Language:Jupyter Notebook910

• JamesChapmanNV/Machine_Learning_Lithium_Ion_Batteries

  Supervised Regression using SVR and Neural Networks for Early Prediction of End-of-Life in Lithium-ion Batteries

  Language:Jupyter Notebook8101

• vageeshmaiya/Deep-Learning-based-Battery-Synthetic-Data

  Language:Jupyter Notebook8101

• Falaknaaz-123/Time-Series-Forecasting-using-GANs

  This is an implementation of Synthetic time series generation using Generative Adversarial Networks for energy storage systems(Machine Learning): Variables considered- Voltage (V), Charge Capacity (Ah), Battery Level.

  Language:HTML5

• swhlqu/charging-curves-prediction

  Data and code for the paper "Predicting the charging curves over the full life cycle of lithium-ion batteries from only ten cycles using deep learning"

  Language:Python50

• swhlqu/degradation-trajectory-prediction

  Data and code for the paper “Predicting degradation trajectorys of lithium-ion batteries from only ten cycles using deep learning”

  Language:Python51

• swhlqu/voltage_prediction_and_ISC_detection

  Mirco ISC detection using deep learning methods

  Language:Python4212

• vageeshmaiya/Attention-based-Synthetic-Battery-Data-Augmentation-Technique

  Language:Python4100

• Niharikajo/Sparse-Attention

  Extended Battery Parameter Synthetic Data Generation Using Sparse Attention Mechanism

  Language:Jupyter Notebook3100

• vageeshmaiya/Pyramidal-Attention-Mechanism-For-Synthetic-Battery-Data-Generation

  Language:Python2100