#时序数据库#Automatic extraction of relevant features from time series:
A PyTorch implementation of EfficientNet
#计算机科学#PHP-ML - Machine Learning library for PHP
#计算机科学#It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
#人脸识别#🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
#大语言模型#Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
#计算机科学#A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
#计算机科学#Feature engineering package with sklearn like functionality
#人脸识别#A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
#计算机科学#OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
#计算机科学#A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Audio feature extraction for JavaScript.
#算法刷题#Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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
#时序数据库#An intuitive library to extract features from time series.
A Python wrapper for Kaldi
💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
#时序数据库#Highly comparative time-series analysis
#计算机科学#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 alg...