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

🔉 spafe: Simplified Python Audio Features Extraction

[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

EntroPy: complexity of time-series in Python (DEPRECATED)

Deep learning methods for feature selection in gene expression autism data.

An in-depth tutorial on the theory of panorama stitching

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.

Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM

Learnable STRF, from Riad et al. 2021 JASA

Python Open-source package for medical images processing and radiomics features extraction.

LibSA4Py: Light-weight static analysis for extracting type hints and features

Codes for the paper "A Robust Of-line Writer Identification Method" in ACTA AUTOMATICA SINICA, 2020

Awesome papers on Feature Extraction (Dimensionality Reduction)

The project addresses automatic detection of microaneurysms (MA) which are first detectable changes in Diabetic Retinopathy (DR). Green channel, being the most contrasted channel, of the color fundus images are considered. The algorithm includes pre-processing, MA candidates detection, features extraction, classification and comparison with grou…

Spatio-temporal features extraction that measure the stabilty. The proposed method is based on a compression algorithm named Run Length Encoding. The workflow of the method is presented bellow.

The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell ph…