#
feature-extraction
Here are 752 public repositories matching this topic...
Automatic extraction of relevant features from time series:
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Oct 17, 2020 - Jupyter Notebook
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 26, 2020 - 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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Jan 28, 2020 - Python
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Mar 3, 2020 - Python
hughrawlinson
commented
Aug 31, 2020
It looks like Semantic Release doesn't by default publish GitHub releases. This plugin should handle it. We also need to create GitHub releases to match the releases that have happened (they've all been security releases I think).
A Python wrapper for Kaldi
python
wrapper
numpy
speech
feature-extraction
speech-recognition
kaldi
language-model
asr
openfst
clif
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Sep 18, 2020 - 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
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 11, 2020 - Jupyter Notebook
JasonShin
commented
Apr 8, 2019
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I'm submitting a ...
[/] enhancement -
Summary
As a result of upgrading the Tensorflow version to 0.15.1, we should refactor all thedataSycnwitharraySync. This will greatly improve the overall readability of the code.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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Dec 15, 2018 - Jupyter Notebook
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
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Oct 26, 2018
Highly comparative time-series analysis
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Oct 3, 2020 - MATLAB
DeltaPy - Tabular Data Augmentation (by @firmai)
finance
data-science
machine-learning
time-series
tabular-data
feature-extraction
feature-engineering
data-augmentation
augmentation
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Apr 22, 2020 - Jupyter Notebook
Medical image processing in Python
python
machine-learning
image-processing
dicom
medical
feature-extraction
image-classification
graph-cut
image-segmentation
nifti-format
itk
simpleitk
mhd
3d
2d
mha
4d
magnetic-resonance-imaging
computed-tomography
medpy
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May 1, 2020 - Python
Novoic's audio feature extraction library
audio
python
machine-learning
statistics
signal-processing
waveform
healthcare
feature-extraction
dimension
speech-processing
audio-processing
docstrings
alzheimers-disease
parkinsons-disease
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Sep 3, 2020 - Python
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
natural-language-processing
text-mining
deep-learning
parsing
feature-selection
feature-extraction
part-of-speech
python2
feature-engineering
python-scripting-language
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Sep 25, 2020 - Jupyter Notebook
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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Oct 3, 2020 - Python
PopSift is an implementation of the SIFT algorithm in CUDA.
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Oct 16, 2020 - Cuda
Automated feature extraction in Python
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Sep 29, 2020 - Python
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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Sep 25, 2020 - Python
USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。
nlp
ai
knowledge-graph
feature-extraction
deeplearning
bert
relation-extraction
fine-tuning
attribute-extraction
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Apr 1, 2019 - Python
Implementation of VLAE
feature-extraction
generative-model
representation-learning
unsupervised-learning
variational-inference
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Dec 21, 2017 - Python
Android app analysis and feature extraction library
android
machine-learning
reverse-engineering
feature-extraction
malware-analysis
malware-research
feature-extractor
malware-detection
reverse-engineer-apk
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Sep 30, 2020 - Java
The hottest High Dynamic Range (HDR) Library
c-plus-plus
opengl
computer-vision
image-processing
triangulation
opengl-library
feature-extraction
image-segmentation
hdri
ssim
hdr
image-filters
hdr-image
color-to-gray
tone-mapping
hdr-reinhard
image-filtering
hdr-compression
hdr-generation
hdr-imaging
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Oct 17, 2020 - C++
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
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May 9, 2018 - Python
Stock for Deep Learning and Machine Learning
data-science
machine-learning
deep-learning
trading
algorithms
prediction
data-visualization
feature-selection
feature-extraction
stock-market
stock-price-prediction
data-analysis
stock-data
feature-engineering
stock-prices
stock-prediction
stock-analysis
financial-engineering
stock-trading
features-extraction
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Oct 12, 2020 - Jupyter Notebook
opencv
opengl
computer-vision
augmented-reality
feature-extraction
ransac
rendering-3d-graphics
object-recognition
uv-mapping
pose-estimation
outlier-removal
feature-matching
marker-less
homography-matrix
markerless-augmented-reality
homography-refinement
random-sample-consensus
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Oct 4, 2020 - C++
Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
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May 26, 2020 - C++
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What would you like to be added: As title
Why is this needed: All pruning schedule except AGPPruner only support level, L1, L2. While there are FPGM, APoZ, MeanActivation and Taylor, it would be much better if we can choose any pruner with any pruning schedule.
**Without this feature, how does current nni