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Search results for deep learning augmentation
augmentation
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deep-learning
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125 search results found
Imgaug
⭐
13,682
Image augmentation for machine learning experiments.
Albumentations
⭐
13,493
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Augmentor
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4,973
Image augmentation library in Python for machine learning.
Sketch Code
⭐
4,714
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Torchio
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1,904
Medical imaging toolkit for deep learning
Torchsample
⭐
1,829
High-Level Training, Data Augmentation, and Utilities for Pytorch
Byol Pytorch
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1,630
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Audiomentations
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1,605
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Pytorch Toolbelt
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1,458
PyTorch extensions for fast R&D prototyping and Kaggle farming
Lightweight Gan
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1,368
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
Fast Autoaugment
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1,358
Official Implementation of 'Fast AutoAugment' in PyTorch.
Torchdyn
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1,187
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Ttach
⭐
879
Image Test Time Augmentation with PyTorch!
Torch Audiomentations
⭐
823
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Nlp
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734
📝 This repository recorded my NLP journey.
Caer
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691
High-performance Vision library in Python. Scale your research, not boilerplate.
Dataaugmentationforobjectdetection
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609
Data Augmentation For Object Detection
Pytorch Randaugment
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557
Unofficial PyTorch Reimplementation of RandAugment.
Rllte
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403
Long-Term Evolution Project of Reinforcement Learning
Pba
⭐
400
Efficient Learning of Augmentation Policy Schedules
Tensorlayer Tricks
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351
How to use TensorLayer
Copy Paste Aug
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306
Copy-paste augmentation for segmentation and detection tasks
Tsaug
⭐
280
A Python package for time series augmentation
Rad
⭐
273
RAD: Reinforcement Learning with Augmented Data
Argus Freesound
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266
Kaggle | 1st place solution for Freesound Audio Tagging 2019
Pytorch Kaggle Starter
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258
Pytorch starter kit for Kaggle competitions
Xview Yolov3
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233
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
Vidaug
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225
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Pytorch Deep Learning Template
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206
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
Iciar2018
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159
Our solution for ICIAR 2018 Grand Challenge
Deep Unet For Satellite Image Segmentation
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155
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Pytorch_connectomics
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151
PyTorch Connectomics: segmentation toolbox for EM connectomics
Wb_color_augmenter
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147
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Semsegpipeline
⭐
145
A simpler way of reading and augmenting image segmentation data into TensorFlow
Deep Retrieval
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139
🌁 Image retrieval using deep learning of global descriptors.
Chainer Cifar10
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132
Various CNN models for CIFAR10 with Chainer
Swift4tf
⭐
130
A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.
Cutout Random Erasing
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125
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
Augmentor.jl
⭐
123
A fast image augmentation library in Julia for machine learning.
Fast Rir
⭐
122
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
Fastai Extensions Repository
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121
A list of extensions for the fastai library.
Ti Pooling
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117
TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
Kaggle Freesound Audio Tagging
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110
8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)
Unsupervised Data Augmentation
⭐
110
Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
Seismiqb
⭐
106
Seismic data interpretation with deep learning
Kaggle Global Wheat Detection
⭐
104
9th Place Solution of Kaggle Global Wheat Detection
Sgg
⭐
100
Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.
Deep_utils
⭐
95
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
Carrier Of Tricks For Classification Pytorch
⭐
93
carrier of tricks for image classification tutorials using pytorch.
Autoalbument
⭐
89
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Image_captioning
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83
Image Captioning with Deep Bidirectional LSTMs
Simplenet
⭐
83
This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )
Punctuation Restoration
⭐
80
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages
Blinkdl.github.io
⭐
80
A collection of State of the Art results in AI / ML / DL / RL / CV / NLP.
Aaltd18
⭐
80
Data augmentation using synthetic data for time series classification with deep residual networks
Caffe Tools
⭐
79
Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
Imagedataaugmentor
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77
Custom image data generator for TF Keras that supports the modern augmentation module albumentations
Emotionalconversionstargan
⭐
75
This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
Supermix
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72
Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
Pydiogment
⭐
68
📣 Python library for audio augmentation
Augmix_tf2
⭐
67
TF2.0 port for Augmix paper
Wav2letter.pytorch
⭐
67
A fully convolution-network for speech-to-text, built on pytorch.
Visualization Segmentation Process
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65
Segmentation visualization, keras, augmentation, fine tuning
Keras Mobile Detectnet
⭐
64
Fast Object Detector for the Jetson Nano
Kaggle Rsna
⭐
61
Deep Learning for Automatic Pneumonia Detection, RSNA challenge
Tsgm
⭐
60
Generative modeling of synthetic time series data and time series augmentations
Simclr In Tensorflow 2
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57
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Yolo_v3
⭐
56
YoloV3 in Pytorch and Jupyter Notebook
Cutoff
⭐
56
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".
Embedding Expansion
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56
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
Semantic Segmentation With Mobilenetv3
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50
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
Multiclass Semantic Segmentation
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48
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]
Keras_deeplearning_example
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46
Picpac
⭐
44
An image database for deep learning.
Bvs
⭐
43
An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)
Candock
⭐
41
A time series signal analysis and classification framework
Contrastive Learner
⭐
39
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
Brain Tumor Detection
⭐
39
Brain Tumor Detection Using Convolutional Neural Networks.
Skin Data Augmentation
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37
Source code for the paper 'Data Augmentation for Skin Lesion Analysis' - Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018
Crnn Pytorch
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36
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Classification
⭐
35
Catalyst.Classification
Awesome Object Detections
⭐
34
object detection records
Audioset_augmentor
⭐
33
Sound augmentation using Large-scale audio dataset (Audioset)
Dec Da
⭐
33
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
Deep Illuminator
⭐
32
Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.
Pytorch Unet
⭐
29
2D and 3D UNet implementation in PyTorch.
Kaggle Human Protein Atlas Image Classification
⭐
28
Kaggle 2018 @ Human Protein Atlas Image Classification
Keras Transform
⭐
28
Library for data augmentation
Segmentation
⭐
27
Catalyst.Segmentation
Imgcrop
⭐
25
Simple image augmentation library focusing on random geometric cropping
Amp Regularizer
⭐
25
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Image Statistics Matching
⭐
24
Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation
Yolov3 Pytorch
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23
A pytorch implementation of yolov3
Zindi_wheat_growth
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23
1st place solution for CGIAR Wheat Growth Stage Challenge
Python Sound Tool
⭐
23
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
Datumio
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22
Real-time augmentation of data for inputs into deep learning models.
Kg4zeroshottext
⭐
22
Source code of the paper 'Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT 2019. '
Deep Chemometrics
⭐
21
Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
Gryds
⭐
20
A Python package for geometric transformations of images for data augmentation in deep learning
Fastai Deep Learning From The Foundations Twiml Study Group
⭐
20
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
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