A PyTorch implementation of EfficientNet
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Apr 8, 2022 - Python
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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.
Here are 883 public repositories matching this topic...
🔥🔥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
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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Aug 22, 2026 - Python
An intuitive library to extract features from time series.
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Jan 30, 2026 - Python
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
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
neural-network pytorch feature-extraction registration 3d correspondence fully-convolutional minkowskiengine sparse-tensor
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Jul 2, 2026 - Python
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
machine-learning deep-learning sklearn keras recurrent-neural-networks feature-extraction neural-networks support-vector-machine mfcc librosa emotion-detection gradient-boosting emotion-recognition kneighborsclassifier random-forest-classifier mlp-classifier speech-emotion-recognition emotion-recognizer
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Nov 3, 2023 - Python
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.
feature-selection feature-extraction xgboost feature-engineering autoencoders categorical-variables mrmr rfe featuretools rfecv feature-encoding best-encoders feature-engg
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Feb 19, 2025 - Python
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
Features selector based on the self selected-algorithm, loss function and validation method
data-science machine-learning feature-selection feature-extraction feature-engineering greedy-search feature-importance
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May 8, 2019 - Python
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.
raft audio-features parallel pytorch feature-extraction resnet vit optical-flow clip multi-gpu i3d s3d video-features vggish r2plus1d swin visual-features timm ig65m laion
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Feb 1, 2026 - Python
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
pytorch feature-extraction open-research sparse-autoencoder llama3 llm-interpretability feature-steering
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Mar 23, 2025 - Python
Flexible time series feature extraction & processing
python processing data-science time-series pandas feature-extraction multivariate feature-engineering multimodal window-stride
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Sep 6, 2024 - Python
Novoic's audio feature extraction library
audio python machine-learning signal-processing healthcare feature-extraction speech-processing audio-processing alzheimers-disease parkinsons-disease
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Mar 4, 2022 - Python
📖 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.
opencv machine-learning deep-neural-networks computer-vision deep-learning camera-calibration image-processing feature-extraction image-classification face-recognition object-detection optical-character-recognition background-subtraction stereo-vision image-preprocessing image-filtering goruntu-isleme
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May 18, 2026 - Python
AntroPy: entropy and complexity of (EEG) time-series in Python
python machine-learning algorithm entropy signal-processing neuroscience eeg feature-extraction complexity signal numba fractal-dimension
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Apr 1, 2026 - Python
Compare neural networks by their feature similarity
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May 17, 2023 - Python
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