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nni

microsoft / nni

Star 11k

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed feature-extraction hyperparameter-optimization feature-engineering nas bayesian-optimization automl automated-machine-learning model-compression neural-architecture-search deep-neural-network
  • Updated Feb 11, 2022
  • Python

ZhaoJ9014 / face.evoLVe

Star 2.8k

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
  • Updated Dec 9, 2021
  • Python

4paradigm / OpenMLDB

Star 1.3k
Find more good first issues

meyda / meyda

Star 1.1k
Open

All parameternames in csv output

4
Oortone
Oortone commented Oct 26, 2021

Is your feature request related to a problem? Please describe.
Using the CLI to output parameters, those audio features who are multidimensional like amplitudeSpectrumand mfcc will not get corresponding label names in the first row of the generated csv-file. This makes it complicated to import using csv-importers like pandas in Python.
It's also unclear which bin each column represents.

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good first issue cli
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feature_engine

feature-engine / feature_engine

Star 776
Open

time series forecasting: window features

2
solegalli
solegalli commented Dec 17, 2021

The transformer should create computations over windows of past values of the features, and populate them at time t, t being the time of the forecast.

It uses pandas rolling, outputs several comptutations, mean, max, std, etc, and pandas shift to move the computations to the right row.

tmp = (data[variables]
       .rolling(window='3H').mean()  # Average the last 3 hr values.
       .
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new feature good first issue

LastAncientOne / Deep-Learning-Machine-Learning-Stock

Star 507

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

data-science machine-learning deep-learning trading algorithms prediction data-visualization feature-selection feature-extraction stock-market stock-price-prediction data-analysis stock-data feature-engineering stock-prices stock-prediction stock-analysis financial-engineering stock-trading features-extraction
  • Updated Feb 10, 2022
  • Jupyter Notebook

ashishpatel26 / Amazing-Feature-Engineering

Star 322

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.

data-science machine-learning data-mining deep-learning scikit-learn data-visualization feature-selection feature-extraction data-analysis data-scientists feature-engineering features feature-scaling
  • Updated Nov 29, 2020
  • Jupyter Notebook

mesutpiskin / computer-vision-guide

Star 301

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

opencv machine-learning deep-neural-networks computer-vision deep-learning camera-calibration image-processing feature-extraction image-classification face-recognition object-detection optical-character-recognition background-subtraction stereo-vision image-preprocessing image-filtering goruntu-isleme
  • Updated Feb 10, 2022
  • Python

x4nth055 / emotion-recognition-using-speech

Star 259

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

machine-learning deep-learning sklearn keras recurrent-neural-networks feature-extraction neural-networks support-vector-machine mfcc librosa emotion-detection gradient-boosting emotion-recognition kneighborsclassifier random-forest-classifier mlp-classifier speech-emotion-recognition emotion-recognizer
  • Updated Feb 10, 2022
  • Python

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