SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 feature-extraction Open-Source Projects
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
interviews.ai
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.
-
towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
-
metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
-
OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
-
speechpy
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
-
MiniAI-FaceRecognition-LivenessDetection-AndroidSDK
NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection Engine (3D Face Anti-Spoofing) on Mobile
-
desbordante-core
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
-
mistql
A query / expression language for performing computations on JSON-like structures. Tuned for clientside ML feature extraction.
-
upgini
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
-
BIOBSS
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: For deep learning practitioners in industry, is the workflow always this annoying? [D] | /r/MachineLearning | 2023-07-10This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
Project mention: Comparative Analysis of Memory Consumption: OpenMLDB vs Redis Test Report | dev.to | 2024-04-03b. Pull the testing code
Project mention: Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0 | /r/algoprojects | 2023-12-10
Project mention: The fastest way to improve quality of ML model on tabular data | /r/learnmachinelearning | 2023-06-18web: https://upgini.com
feature-extraction related posts
-
For deep learning practitioners in industry, is the workflow always this annoying? [D]
-
dna_parser : A Python package written in Rust to encode DNA sequences for machine learning.
-
[D] Incorporating external data in LSTM models for sales forecasting in e-commerce
-
[R] Approach to identify clusters on a time series
-
GitHub - meyda/meyda: Audio feature extraction for JavaScript.
-
Meyda: A JavaScript audio feature extraction library
-
The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github, and I have not reuploaded the notebooks to the repo's since then.
-
A note from our sponsor - SaaSHub
www.saashub.com | 1 May 2024
Index
What are some of the best open-source feature-extraction projects? This list will help you:
Project | Stars | |
---|---|---|
1 | tsfresh | 8,087 |
2 | EfficientNet-PyTorch | 7,715 |
3 | interviews.ai | 4,437 |
4 | towhee | 2,989 |
5 | metarank | 1,985 |
6 | OpenMLDB | 1,550 |
7 | meyda | 1,391 |
8 | Deep_Learning_Machine_Learning_Stock | 1,148 |
9 | pykaldi | 978 |
10 | speechpy | 880 |
11 | tsfel | 855 |
12 | machinelearnjs | 536 |
13 | deltapy | 527 |
14 | MiniAI-FaceRecognition-LivenessDetection-AndroidSDK | 381 |
15 | tsflex | 361 |
16 | desbordante-core | 348 |
17 | mistql | 345 |
18 | PyTorch-Model-Compare | 313 |
19 | upgini | 290 |
20 | opensmile-python | 218 |
21 | textfeatures | 167 |
22 | torchextractor | 99 |
23 | BIOBSS | 94 |
Sponsored