tdl77 Goto Github PK

1dcnn_fault_detection

1DCNN Fault Detection（1DCNN的轴承故障诊断）

3.eeg_recognation

Machine learning for Anonymous detection of an alcoholic by EEG signals

30daychartchallenge

Contributions to the #30DayChartChallenge

400-birds-species-classification

Classification of 400 birds species using Deep Learning

ab_lifehacks

All code examples from article ...

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

adval

Adversarial Validation Package

advanced-value-counts

GitHub repo of the advanced-value-counts package

ai-experiments

airflow-docker

Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)

airflow_kafka_cassandra_mongodb

Produce Kafka messages, consume them and upload into Cassandra, MongoDB.

aleatory

📦 Python library for Stochastic Processes Simulation and Visualisation

alibi-detect

Algorithms for outlier, adversarial and drift detection

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

analyticsdashboard-with-excel-file

analyzing-machine-learning-model-errors

In this repo we will be focusing on analyzing errors made by your machine learning model, figure out what's wrong with the data. Then, make some changes to your data and retrain your model.

anomaly-detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomalybert

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

article-matrix-profile-intro

This is a supporting repository for the journal article https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90.

articles

References to the Medium articles

astgcn-r-pytorch

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

attention-based-lstm-network-for-predicting-times-series

Forex price movement forecast

augmentts

AugmentTS :: Time Series Data Augmentation using Deep Generative Models

auto-pipeline-airflow-mlflow

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autobinary_framework

Framework for more easy fitting tree models

autofeatselect

A python library to automate feature selection process for machine learning projects.

autolgbm

LightGBM + Optuna