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data-augmentations

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AgaMiko /data-augmentation-review

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

UpdatedAug 14, 2024

rad

MishaLaskin /rad

RAD: Reinforcement Learning with Augmented Data

deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning rad deep-learning-algorithms rl codebase deep-q-network sac deep-q-learning ppo deeplearning-ai model-free off-policy dm-control data-soft-actor-critic data-augmentations mujoc

UpdatedMar 29, 2021
Jupyter Notebook

HasnainRaz /SemSegPipeline

A simpler way of reading and augmenting image segmentation data into TensorFlow

python deep-learning pipeline tensorflow data-preprocessing masks semantic-segmentation data-augmentation image-augmentation augmentation image-preprocessing input-pipeline data-augmentations

UpdatedJun 15, 2020
Python

JunlinHan /YOCO

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

computer-vision pytorch classification imagenet object-detection super-resolution data-augmentation-strategies cifar10 data-augmentation icml cifar100 instance-segmentation imagenet-classifier rain-removal data-augmentations contrastive-learning

UpdatedAug 1, 2023
Python

Zhenye-Na /crnn-pytorch

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

natural-language-processing computer-vision deep-learning full-stack text-recognition crnn-ocr data-labeling emnist-dataset iam-lines-dataset data-augmentations serving-predictions

UpdatedMay 1, 2019
Jupyter Notebook

hammoudiproject /SuperpixelGridMasks

SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.

machine-learning deep-learning cnn artificial-intelligence datascience data-generation image-classification image-recognition imaging sensor-data imagery data-augmentation image-augmentation training-dataset data-augmentations

UpdatedJan 18, 2023

wxl1999 /CFCRS

[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".

dialogue dialog conversation recommendation-system recommender-system recommendation pretrained-models data-augmentation-strategies data-augmentation dialogue-systems conversational-bots conversational-ai pretraining pretrained-language-model data-augmentations conversational-recommendation conversational-recommender-system

UpdatedJun 5, 2023
Python

sonosole /SpeechAugment.jl

A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).

audio-effect distortion data-augmentation-strategies audio-processing reverberation data-augmentations farfield speed-perturbation

UpdatedApr 5, 2022
Julia

Ayushi1995 /Deep-learning

This repository contains projects in the field of Deep Learning

gpu cuda pytorch neural-networks convolutional-neural-networks data-augmentations

UpdatedApr 7, 2022
Jupyter Notebook

UnnayanMishra /Image-Classification-using-cnn

This project implements an image classification model using Convolutional Neural Networks (CNN) to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes, with 6,000 images per class. The classes include airplanes, automobiles, birds, cats, deer, dogs, frogs, horses, and trucks.

deep-neural-networks computer-vision deep-learning cnn cifar10 cnn-classification cifar10-classification data-augmentations

UpdatedOct 11, 2024
Jupyter Notebook

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