A PyTorch implementation of EfficientNet

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

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

Feature engineering package with sklearn like functionality

A Python wrapper for Kaldi

An intuitive library to extract features from time series.

💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

Features selector based on the self selected-algorithm, loss function and validation method

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

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

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

Novoic's audio feature extraction library

Flexible time series feature extraction & processing

📖 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.

ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO

Compare neural networks by their feature similarity

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

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