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
hsouri/BayesianTransferLearning
keras-team/keras-io
Keras documentation, hosted live at keras.io
benfulcher/hctsa
Highly comparative time-series analysis
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
ningshixian/LSTM_Attention
attention-based LSTM/Dense implemented by Keras
tensorflow/nmt
TensorFlow Neural Machine Translation Tutorial
Kikyo-16/Sound_event_detection
This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad if you're interested in using it for research purpose or DCASE participation.
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
arashsaber/Deep-Convolutional-AutoEncoder
This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
ikostrikov/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
tensorpack/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
quon-titative-biology/siVAE
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
shap/shap
A game theoretic approach to explain the output of any machine learning model.
yifanjiang19/sppnet-pytorch
A simple Spatial Pyramid Pooling layer which could be added in CNN
techsoft3d/hwp-azure-app-service
Express based website that streams 3D data from an Azure instance
lgaalves/hctsaPhenotypingWorm
Machine learning classification using scikit-learn and features from hctsa analysis on movement speed data of five strains of the nematode worm Caenorhabditis elegans
benfulcher/hctsa_phenotypingWorm
Running hctsa analysis on movement speed data of five strains of worm
mdn/content
The content behind MDN Web Docs
Azure-Samples/azure-digital-twins-unreal-integration
Sample project demonstrating the Unreal Engine plug-in for Azure Digital Twins
Soft8Soft/threejs-blender-template
Starter project for creating WebGL apps with Blender and Three.js
isl-org/Open3D
Open3D: A Modern Library for 3D Data Processing
akselov/digital-twin-opcua
Files used in the development of a digital twin for a robot cell at NTNU with the use of Visual Components 4.0 and OPC UA
Autodesk-Forge/forge-digital-twin
Autodesk Forge application demonstrating various use cases in manufacturing, specifically in context of digital twins.
mathworks/Simscape-Triplex-Pump
Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape
Institute-for-Future-Intelligence/multiphysics
Interactive Multiphysics Simulation for Everyone
hystrath/hyStrath
Hypersonic / Rarefied gas dynamics code developments (GPL-3.0)
precise-simulation/featool-multiphysics
FEATool - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Multi-Physics Simulation Platform)