feature-extraction

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 will find it fascinating as well.

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

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

A cross-platform video structuring (video analysis) framework based on CV models & mLLM.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Feature engineering and selection open-source Python library compatible with sklearn.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Flexible time series feature extraction & processing

Compare neural networks by their feature similarity

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

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。

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.

This repository implements a learning-based beamforming approach leveraging multimodal feature fusion. It includes data preprocessing, augmentation, and a transformer-based network for efficient beam prediction.

This project aims to develop an innovative anomaly detection system using advanced data mining and deep learning techniques to accurately identify and localize defects in manufacturing components, thereby enhancing quality control processes and reducing production losses.