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Updated
Jun 1, 2022 - Python
#
data-augmentation
Here are 645 public repositories matching this topic...
A system for quickly generating training data with weak supervision
python
data-science
machine-learning
ai
weak-supervision
snorkel
labeling
data-augmentation
training-data
data-slicing
enhancement
New feature or request
good first issue
Good for newcomers
question
Further information is requested
Open
DALI + Catalyst = 🚀
4
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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May 30, 2022 - Python
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
nlp
security
machine-learning
natural-language-processing
data-augmentation
adversarial-machine-learning
adversarial-examples
adversarial-attacks
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Jul 9, 2022 - Python
High-Level Training, Data Augmentation, and Utilities for Pytorch
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Dec 26, 2021 - Python
fepegar
opened
Feb 12, 2020
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用
nlp
text-classification
distance
chatbot
chinese
feature
bert
data-augmentation
enhance
text-augment
xlnet
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Sep 23, 2021 - Python
Data augmentation for NLP, presented at EMNLP 2019
nlp
text-classification
position
cnn
embeddings
synonyms
swap
classification
rnn
sentence
data-augmentation
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May 19, 2021 - Python
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
review
machine-learning
survey
generative-adversarial-network
style-transfer
data-generation
data-augmentation
image-augmentation
data-synthesis
autoaugment
audio-augmentation
data-augmentations
augmentation-policies
nlp-augmentation
graph-data-augmentation
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May 22, 2022
一键中文数据增强包 ; NLP数据增强、bert数据增强、EDA:pip install nlpcda
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Jun 22, 2022 - Python
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
audio
python
music
machine-learning
deep-learning
dsp
sound
sound-processing
data-augmentation
augmentation
audio-effects
audio-data-augmentation
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Jun 29, 2022 - Python
An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。
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May 31, 2022 - Python
Data Augmentation For Object Detection
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Apr 14, 2020 - Jupyter Notebook
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
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Jun 24, 2022 - Jupyter Notebook
goru001
commented
Jul 16, 2019
Awesome Graph Self-Supervised Learning
machine-learning
deep-learning
transfer-learning
representation-learning
unsupervised-learning
data-augmentation
graph-neural-networks
self-supervised-learning
pre-training
pretext-task
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Jul 2, 2022
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
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Jun 15, 2021 - Python
Open
About OCR generation
2
LC-John
commented
Dec 14, 2021
Hi, guys!
I am trying to reuse the OCR transformation module in TextFlint, but I somehow find it rather trivial...
I quote the code about the OCR rules in the source code as below:
mapping = {
'0': ['8', '9', 'o', 'O', 'D'],
'1': ['4', '7', 'l', 'I'],
'2': ['z', 'Z'],
'5': ['8'],
'6': ['b'],
'8': ['s', 'S',Light-weight Single Person Pose Estimator
lightweight
machine-learning
real-time
deep-learning
heatmap
realtime
pytorch
dataloader
squeezenet
data-augmentation
pose-estimation
mobile-device
shufflenet
resnet-18
mobilenetv2
deeppose
shufflenet-v2
shufflenetv2
dsntnn
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Jun 22, 2022 - Jupyter Notebook
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
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Apr 5, 2022 - Python
Collection of papers and resources for data augmentation for NLP.
machine-learning
natural-language-processing
deep-learning
text-classification
transformers
artificial-intelligence
survey
data-augmentation
survey-paper
acl2021
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Mar 16, 2022
Open
Padding transform
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iver56
commented
Jul 22, 2021
This transform takes a fraction of the end or the start of the audio and treats that part as padding. We can implement several modes:
- constant (zero)
- wrap
- reflect
good first issue
Good for newcomers
Efficient Learning of Augmentation Policy Schedules
python
data-science
machine-learning
deep-learning
tensorflow
artificial-intelligence
image-classification
convolutional-neural-networks
data-augmentation
augmentation
automl
automated-machine-learning
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Oct 27, 2019 - Jupyter Notebook
Deep Convolutional Neural Networks for Musical Source Separation
theano
deep-learning
signal-processing
data-generation
convolutional-neural-networks
audio-synthesis
data-augmentation
source-separation
sample-querying
score-synthesis
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Jan 31, 2020 - Python
Implementation of the mixup training method
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Jun 12, 2018 - Python
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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Mar 1, 2022 - Jupyter Notebook
Copy-paste augmentation for segmentation and detection tasks
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Oct 28, 2021 - Jupyter Notebook
Data augmentation tool for images
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Jun 21, 2022 - Python
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
computer-vision
deep-learning
keras
pytorch
kaggle
kaggle-competition
neural-networks
transfer-learning
neural-network-example
data-augmentation
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Nov 8, 2019 - Jupyter Notebook
deep-learning
satellite
pytorch
remote-sensing
classification
satellite-imagery
semantic-segmentation
data-augmentation
torchvision
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Aug 30, 2020 - Python
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Hi, I was wondering, is DALI currently compatible with tensorcom? And if so, are there any examples showing how to use DALI with a tensorcom data server, for example, like this?