Zhang-GQ's Stars
figimodi/AM04
Dataset Augmentation for Additive Manufacturing defect detection
lyumingdong/Geometric-Shape-Deviation-Prediction-with-RNN-Model-for-Additive-Manufacturing
XiankunCao/Published-Papers-in-Additive-Manufacturing-Simulation-Combined-with-Deep-Learning
qihangGH/probabilistic_melt_pool_model
[TASE 2024] Official implementation of the paper "Probabilistic Data-Driven Modeling of a Melt Pool in Laser Powder Bed Fusion Additive Manufacturing"
OverNight3D/FFF-Manufacturing
An open-source, curated and easy to read 3D printing knowledge base with the goal of explaining and myth-busting common additive manufacturing techniques.
bahau88/Additive_Manufacturing
Predicting the additive manufacturing quality based on the parameters
BaratiLab/Porosity-Generation
Code repository corresponding to the "Deep Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing" paper.
Boon-Yang/Machine-Learning-for-Defect-Detection-In-Additive-Manufacturing
adlhancock/SLMtools
Tools for storing and visualising SLM parameters for additive manufacturing
samcdc6600/modelsFor3DPrinter
A collection of my designs for things to be created using additive manufacturing
salmanjahani/3D-Multivariate-Gaussian-Processes-for-Additive-Manufacturing-Process-Parameter-Estimation
ncsa/AM_DeepONet
Application of two different DeepONet models in multi-physics additive manufacturing applications.
vigneashpandiyan/Additive-Manufacturing-DED-Contrastive-Learners
In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning
iss1995/gpyro
GPyro: uncertainty-aware temperature predictions for additive manufacturing
JeshDev/master-thesis-anomaly-detection-cnn
Anomaly Detection in Additive Manufacturing using Deep Learning
RomanVazquezL/Classification-AdditiveManufacturing
Developing ML algorithm for anomaly detection for PBF Additive Manufacturing as final year individual project
elahesalari/Porosity_Prediction_DED_Additive_Manufacturing
Porosity Prediction in DED technology of Additive Manufacturing using machine learning
Anubhavchandil/RESEARCH-INTERN
Worked on a dataset of high entropy alloys which is used to design materials for additive manufacturing. Being responsible for Performing Data Analysis and constructing Machine learning algorithms, including neural networks, Gradient boosting for carrying predictions useful for advanced material invention.
MeltPoolDG/MeltPoolDG
(DG)-FEM-based multi-phase thermo-hydrodynamics solvers for metal additive manufacturing process simulations
mojtabamozaffar/differentiable-simulation-am
An optimization tool for additive manufacturing using automatic differentiation
ECP-copa/Cabana
Performance-portable library for particle-based simulations
ExascaleAM/AdditiveFOAM
Mirror for AdditiveFOAM https://github.com/ORNL/AdditiveFOAM: heat and mass transfer software for simulation of additive manufacturing, based on OpenFOAM
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
d2l-ai/d2l-zh
《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。
NVIDIA/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration