lyzl2010 Goto Github PK

100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

1d-grad-cam-for-interpretable-intelligent-fault-diagnosis

智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

a-domain-adaption-transfer-learning-bearing-fault-diagnosis-model-based-on-wide-convolution-deep-neu

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

a-new-convolutional-neural-network-based-data-driven-fault-diagnosis-method

TensorFlow implementation of a CNN based mechanical science paper

active-learning

active-learning-1

active-manifold-learning-toolbox

A toolbox for different active manifold learning methods

active_gp_hyperlearning

Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014).

active_learning

Active learning toolbox for MATLAB

activelearning-gp

This repo contains active learning query strategies as introduced in our GCPR 2013 paper.

activelearningforregression

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adaptive-soft-sensor-design

Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"

adaptive_soft_sensors

Adaptive Soft Sensors

adatime

Official implementation of AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

adversarial-security-of-fdc

This repository contains the trained model checkpoints and crafted adversarial samples of the paper: Attack and Defense: Adversarial Security of Data-driven FDC Systems, Yue Zhuo and Zhiqiang Ge.

aerial-recognition

Deep Aerial Image Recognition

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alibi-detect

Algorithms for outlier, adversarial and drift detection

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

altoolbox

MATLAB Active Learning Toolbox for Remote Sensing

ame

🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

attention-clx-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

attention_based_multihead_model_for_aircraft_engine_rul_prediction_

Attention-based multihead model for optimized aircraft engine remaining useful life prediction

autoencoder

Text autoencoder with LSTMs

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008