Automatic extraction of relevant features from time series:
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Jul 6, 2026 - Jupyter Notebook
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feature-extraction
Feature engineering is the process of creating, selecting, and transforming input features to improve the performance of machine learning models. It includes techniques such as feature extraction, feature selection, encoding categorical variables, scaling numerical features, and generating new features from existing data. Effective feature engineering helps models capture meaningful patterns, improve predictive accuracy, and generalize better to unseen data.
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A PyTorch implementation of EfficientNet
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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
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Aug 22, 2025
🔥🔥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
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Mar 20, 2025 - 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
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Oct 18, 2024 - Python
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
opencv ai deep-learning gstreamer cv feature-extraction openai image-classification face-recognition object-detection deepstream image-segmentation similarity-search video-analysis license-plate-recognition reid behaviour-analysis llm multimodal-large-language-models ollama
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Feb 25, 2026 - C++
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
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Oct 6, 2026 - Scala
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
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May 10, 2023 - Python
Feature engineering and selection open-source Python library compatible with sklearn.
python data-science machine-learning scikit-learn feature-selection feature-extraction feature-engineering
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Sep 19, 2026 - Python
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
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Mar 1, 2024 - Jupyter Notebook
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
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Oct 16, 2026 - C++
Audio feature extraction for JavaScript.
javascript audio-features feature-extraction music-information-retrieval mir hacktoberfest zero-cross spectral-centroid
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Jul 15, 2024 - TypeScript
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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Sep 24, 2022 - 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
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Oct 27, 2025 - Jupyter Notebook
A Python wrapper for Kaldi
python wrapper numpy speech feature-extraction speech-recognition kaldi language-model asr openfst clif
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Nov 30, 2025 - Python
💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
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Dec 15, 2024 - Python
Highly comparative time-series analysis
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Oct 19, 2026 - MATLAB
The Munich Open-Source Large-Scale Multimedia Feature Extractor
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Jan 26, 2026 - C++
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
machine-learning deep-learning disk pytorch feature-extraction pose-estimation tensorrt feature-matching homography local-features onnx onnx-torch openvino visual-localization onnxruntime superpoint homography-estimation local-feature-matching lightglue
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Jul 30, 2026 - Python
Face Recognition App; Face Liveness Detection; Face Detection; Face Alignment; Face Identification && Face Verification && Face Compare; Face Matching; Face Tracking; Face Expression && Face Anti Spoofing; Face Attribute && Face Age; Face Transfer; Face Anti-Spoofing; Face Retrieval; face recognition
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
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Sep 10, 2026 - Kotlin
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