xiyueyun

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External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Language:PythonLicense:MITStargazers:11101Issues:104Issues:79

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Language:Jupyter NotebookLicense:MITStargazers:1421Issues:35Issues:2

CBAM.PyTorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

Deep-Reinforcement-Learning-Hands-On-Second-Edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Language:Jupyter NotebookLicense:MITStargazers:1089Issues:25Issues:44

Rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

Deep-Reinforcement-Learning-Algorithms-with-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Reinforcement-Implementation

Implementation of benchmark RL algorithms

mscnn

Caffe implementation of our multi-scale object detection framework

Deep-learning-in-PHM

Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction

License:MITStargazers:379Issues:13Issues:0

RUL

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Language:Jupyter NotebookStargazers:255Issues:2Issues:8

DeepDeblur-PyTorch

Deep Multi-scale CNN for Dynamic Scene Deblurring

Language:PythonLicense:MITStargazers:250Issues:6Issues:54

projectRUL

to prediction the remain useful life of bearing based on 2012 PHM data

Language:PythonStargazers:229Issues:0Issues:4

FECAM

About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚

Language:Jupyter NotebookStargazers:85Issues:5Issues:21

tiny-transformers

[ECCV 2022] Implementation of the paper "Locality Guidance for Improving Vision Transformers on Tiny Datasets"

Language:PythonLicense:Apache-2.0Stargazers:73Issues:2Issues:7

Weather-Prediction-Time-Series-Forecasting

Predicting Weather using CNN-LSTM

Language:Jupyter NotebookStargazers:56Issues:0Issues:0

c-mapss-full-dataset-

完整的航空发动机一维卷积神经网络训练模型

Language:PythonStargazers:49Issues:0Issues:0

Implementation-of-GCU-Transformer-for-RUL-Prediction-on-CMAPSS

Implementation of GCU-Transformer for RUL Prediction on CMAPSS