Pinned Repositories
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Digital Signal Processing in Python, by Allen B. Downey.
-_alix
《Python爬虫开发 从入门到实战》配套源代码。
-_alix_w
[UNMAINTAINED] Symbolic Framework for Modeling and Identification of Robot Dynamics
-RUL-deep-learning-fault-diagnosis
Abaqus
adapy
A python library for structural analysis and design
AGTF30
matlab_simulation
anasys-python-tools
用python 对anasys仿真结果进行后处理
AugStatic
AugStatic - A Light-Weight Image Augmentation Library(数据增强)
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
wangxiaolin99's Repositories
wangxiaolin99/adapy
A python library for structural analysis and design
wangxiaolin99/AGTF30
matlab_simulation
wangxiaolin99/Bladesight
Bladesight provides comprehensive tools for introductory Blade Tip Timing analysis.
wangxiaolin99/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
wangxiaolin99/DiT
扩散模型于变压器Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
wangxiaolin99/facechain
FaceChain is a deep-learning toolchain for generating your Digital-Twin.(深度学习用于数字孪生)
wangxiaolin99/fractal
神经网络可训练性的边界是分形的The boundary of neural network trainability is fractal
wangxiaolin99/GaussianObject
(2d_2_3d)Code for "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"
wangxiaolin99/iTransformer
时间序列预测问题
wangxiaolin99/learning-to-fly
Training transferable end-to-end quadrotor control policies on a laptop in 18 seconds.
wangxiaolin99/Pearl
(强化学习)A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
wangxiaolin99/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
wangxiaolin99/PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
wangxiaolin99/pyansys
Delivering PyAnsys libraries as a bundle(python ansys 联动)
wangxiaolin99/pyfluent
Pythonic interface to Ansys Fluent(python 流体)
wangxiaolin99/pylife
一个用于疲劳和可靠性的通用库a general library for fatigue and reliability
wangxiaolin99/pymapdl
Pythonic interface to MAPDL
wangxiaolin99/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
wangxiaolin99/pytwin
Ansys Digital Twin repository(python 数字孪生)
wangxiaolin99/Remaining-Useful-Life-Estimation-Variational
C-MAPSS数据集预处理代码
wangxiaolin99/RUL
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
wangxiaolin99/rul-adapt
RUL 的五种算法
wangxiaolin99/RUL_Prediction
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit
wangxiaolin99/sciann
Deep learning for Engineers - Physics Informed Deep Learning
wangxiaolin99/T-MATS
NASA matlab 仿真工具箱
wangxiaolin99/torch-conv-kan
kan 相关
wangxiaolin99/Unity3D_Robotics_UR
A digital-twin of the Universal Robots UR3 integrated into the Unity3D development platform.
wangxiaolin99/Vehicle-Digital-Twin-Feedback-Loop
In this repository you'll find everything you need to get started in creating a Digital Twin with MongoDB and AWS. More specifically, you'll find code samples and demos using the Realm database with MongoDB Atlas, Device sync and Amazon SageMaker.
wangxiaolin99/voice-assistant
一个简单的 Python 脚本，可以通过语音与本地大语言模型进行对话。
wangxiaolin99/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information