Stars
Stable Diffusion web UI
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
An educational resource to help anyone learn deep reinforcement learning.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
🚀🚀🚀feapder is an easy to use, powerful crawler framework | feapder是一款上手简单,功能强大的Python爬虫框架。内置AirSpider、Spider、TaskSpider、BatchSpider四种爬虫解决不同场景的需求。且支持断点续爬、监控报警、浏览器渲染、海量数据去重等功能。更有功能强大的爬虫管理系统feaplat为其提…
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Python client implementation for qBittorrent's Web API
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
Source code for article https://paul.pub/a-star-algorithm
Landmark Recurrent Network: An efficient and robust framework for Deepfakes detection
An Informer-LSTM model for State-of-Charge Estimation of Lithium-Ion Batteries
A PDF to HTML converter with silky smooth reading experience
MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries
Developed a data-driven prognostic model using the Long short-term memory (LSTM) algorithm to predict the state of charge (SoC) and state of health (SoH) of the lithium-ion battery where the datase…
Long Short-Term Memory for Estimating State of Charge of Lithium Polymer Battery
Official Implementation for [IEEE Transactions on Vehicular Technology] "TTSNet: Temporal transformer-based sequence network for state-of-charge estimation of Li-ion battery"
Code used for the paper 'Lithium-Ion Battery Management System with Reinforcement Learning for Balancing State of Charge and Cell Temperature'
Full Keras Transformer neural network (encoder and decoder) for SOC estimation (time-series prediction)
Li-ion State of Charge estimation using PyTorch LSTM network