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a-john-deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

a-john-deep-learning-in-phm

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

a-john-deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

a-john-deeplearning-models

A collection of various deep learning architectures, models, and tips

a-john-external-attention-pytorch

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

a-john-hands-on-tensorboard-for-pytorch-developers

Hands-On TensorBoard for PyTorch Developers, Published by Packt

a-john-huggingface-transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

a-john-machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

a-john-pytorch-examples-1

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

a-john-pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

a-john-train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

a-john-transfer-learning-library

Transfer-Learning-Library

a-pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

a_john-rotating-machine-fault-data-set

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

a_nasa-prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

adversarial-attack-on-machinery-fault-diagnosis

The code for http://arxiv.org/abs/2110.02498

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

awesome-vision-attentions

Summary of related papers on visual attention

bilstm_attn

codats

Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)

d-john-a-cross-category-fault-diagnosis-by-deep-few-shot-learning

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-fault-diagnosis

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deep-sensor

A deep learning framework for fault diagnositcs with PyTorch