An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Updated
Jul 22, 2020 - Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Automatic extraction of relevant features from time series:
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Audio feature extraction for JavaScript.
A Python wrapper for Kaldi
Features selector based on the self selected-algorithm, loss function and validation method
Machine Learning library for the web and Node.
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Highly comparative time-series analysis code repository
DeltaPy - Tabular Data Augmentation (by @firmai)
Medical image processing in Python
Novoic's audio feature extraction library
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
Automated feature extraction in Python
PopSift is an implementation of the SIFT algorithm in CUDA.
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。
Implementation of VLAE
Android app analysis and feature extraction library
The hottest High Dynamic Range (HDR) Library
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
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