Automatic extraction of relevant features from time series:
-
Updated
Nov 19, 2024 - Jupyter Notebook
#
feature-extraction
Here are 1,827 public repositories matching this topic...
A PyTorch implementation of EfficientNet
-
Updated
Apr 8, 2022 - Python
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.
python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax
-
Updated
Jan 21, 2022
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
-
Updated
Dec 23, 2022 - Python
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
machine-learning computer-vision pipeline image-processing embeddings transformer video-processing feature-extraction convolutional-networks vit feature-vector image-retrieval unstructured-data embedding-vectors milvus vision-transformer towhee llm
-
Updated
Oct 18, 2024 - Python
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
-
Updated
May 10, 2023 - Python
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
search kubernetes data-science machine-learning scala deep-learning personalization data-engineering feature-extraction ranking neural-networks feature-engineering automl
-
Updated
Aug 17, 2024 - Scala
Feature engineering package with sklearn like functionality
python data-science machine-learning scikit-learn feature-selection feature-extraction feature-engineering
-
Updated
Nov 8, 2024 - Python
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
machine-learning feature-extraction feature-engineering in-memory-database mlops feature-store featurestore database-for-machine-learning machine-learning-database database-for-ai featureops
-
Updated
Dec 12, 2024 - C++
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 : )
opencv ai deep-learning gstreamer cv video-processing feature-extraction image-classification face-recognition object-detection deepstream image-segmentation similarity-search image-enhancement video-analysis license-plate-recognition reid behaviour-analysis
-
Updated
Aug 27, 2024 - C++
Audio feature extraction for JavaScript.
javascript audio-features feature-extraction music-information-retrieval mir hacktoberfest zero-cross spectral-centroid
-
Updated
Jul 15, 2024 - TypeScript
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
-
Updated
Sep 24, 2022 - Jupyter Notebook
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
data-science machine-learning deep-learning neural-network trading algorithms prediction feature-selection feature-extraction stock-market stock-price-prediction technical-analysis stock-data feature-engineering stock-prices stock-prediction stock-analysis financial-engineering stock-trading features-extraction
-
Updated
Mar 1, 2024 - Jupyter Notebook
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
python docker medical-imaging feature-extraction cancer-imaging-research computational-imaging radiomics nci-itcr tcia-dac nci-qin radiomics-features ibsi radiomics-feature-extraction
-
Updated
Oct 21, 2024 - Jupyter Notebook
A Python wrapper for Kaldi
python wrapper numpy speech feature-extraction speech-recognition kaldi language-model asr openfst clif
-
Updated
Aug 15, 2024 - Python
Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android
authentication onboarding feature-extraction biometrics face-recognition face-detection face-alignment face-tracking idv anti-spoofing face-liveness age-gender-estimation face-liveness-detection face-matching face-attributes kyc-service face-mask-detection ekyc-verification passive-liveness nist-frvt
-
Updated
Oct 15, 2024 - Kotlin
An intuitive library to extract features from time series.
-
Updated
Oct 17, 2024 - Python
💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
-
Updated
Dec 15, 2024 - Python
Highly comparative time-series analysis
-
Updated
Dec 17, 2024 - MATLAB
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 algorithms. Feature engineering can be considered as applied machine learning itself.
data-science machine-learning data-mining deep-learning scikit-learn data-visualization feature-selection feature-extraction data-analysis data-scientists feature-engineering features feature-scaling
-
Updated
Jun 19, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the feature-extraction topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the feature-extraction topic, visit your repo's landing page and select "manage topics."