yunzhidian
Adaptive Control, Robust Control, Real-time application Embedded System, Linux Drive QT, matlab/scilab, Keil, Creo, Altium Designer Java, C/C++, Python
Shanghai Jiao Tong UniversityShanghai
yunzhidian's Stars
vigneashpandiyan/Additive-Manufacturing-DED-Manifold-Learning
Monitoring of direct energy deposition process using deep-net based manifold learning and co-axial melt pool imaging
Gurobi/modeling-examples
Gurobi modeling examples
BUAA-BDA/ridesharing-GreedyDP
An efficient insertion framework called GreedyDP for shared mobility services.
MichaelBarclift/Additive-Manufacturing
A curated list of Additive Manufacturing literature, research papers, and presentations that are publicly available and related to Laser Powder Bed Fusion and Metal Binder Jetting processes.
AMPL-NU/Graph_AM_Modeling
A collaborative repository for research on modeling additive manufacturing using graph neural networks
BaratiLab/MeltpoolNet
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning
online-ml/river
🌊 Online machine learning in Python
google-research/vision_transformer
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
MarcCoru/crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
gengxiangc/BSLD
Lab-IDEAS/CropMappingInterpretation
Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".
uzaymacar/attention-mechanisms
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
jcjohnson/pytorch-examples
Simple examples to introduce PyTorch
GuanyaShi/Online-Meta-Adaptive-Control
StanfordASL/Adaptive-Control-Oriented-Meta-Learning
Adaptive control-oriented meta-learning for nonlinear systems
MPh-py/MPh
Pythonic scripting interface for Comsol Multiphysics
OverLordGoldDragon/see-rnn
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
albermax/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
brianferrell787/Visualizing-attention-layer-in-text-classification-deep-learning-algorithm
So recently I have finished creating a prototype algorithm on a really small dataset that can detect the gradients of a newly created 5-level community engaged research heuristic. This model has a custom attention layer added in and I have found that visualizing this layer can actually help see what words are important and what words are not.
hila-chefer/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
princewen/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
runwayml/stable-diffusion
Latent Text-to-Image Diffusion
scutan90/CNN-Visualization
CNN可视化、理解CNN
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
dennybritz/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
hsouri/BayesianTransferLearning
keras-team/keras-io
Keras documentation, hosted live at keras.io
benfulcher/hctsa
Highly comparative time-series analysis