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Search results for jupyter notebook augmentation

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155 search results found

Nlpaug ⭐ 3,825

Data augmentation for NLP

Autoaugment ⭐ 1,382

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Torchdyn ⭐ 1,187

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Batchgenerators ⭐ 1,013

A framework for data augmentation for 2D and 3D image classification and segmentation

Dataaugmentationforobjectdetection ⭐ 609

Data Augmentation For Object Detection

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Efficient Learning of Augmentation Policy Schedules

Spec_augment ⭐ 374

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Toolbox ⭐ 347

various cv tools, such as label tools, data augmentation, label conversion, etc.

Cutblur ⭐ 335

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Copy Paste Aug ⭐ 306

Copy-paste augmentation for segmentation and detection tasks

Provides everything needed for high performance data loading and augmentation in pytorch.

RAD: Reinforcement Learning with Augmented Data

Pytorch Kaggle Starter ⭐ 258

Pytorch starter kit for Kaggle competitions

Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'

Mixup Generator ⭐ 212

An implementation of "mixup: Beyond Empirical Risk Minimization"

Face Of Art ⭐ 207

Code for "The Face of Art: Landmark Detection and Geometric Style in Portraits"

Pytorch Deep Learning Template ⭐ 206

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

Data Augmentation For Wearable Sensor Data ⭐ 198

A sample code of data augmentation methods for wearable sensor data (time-series data)

Tensorflow In Practise Specialization ⭐ 193

Four Courses Specialization Tensorflow in practise Specialization

Deepaugment ⭐ 150

Discover augmentation strategies tailored for your dataset

Swift4tf ⭐ 130

A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.

Imageaugmentation ⭐ 127

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

Cutout Random Erasing ⭐ 125

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Semantic Segmentation Tutorial Pytorch ⭐ 123

A simple PyTorch codebase for semantic segmentation using Cityscapes.

Time_series_augmentation ⭐ 117

An example of time series augmentation methods with Keras

Seismiqb ⭐ 106

Seismic data interpretation with deep learning

Traffic Signs ⭐ 106

Building a CNN based traffic signs classifier.

Speech Emotion Classification With Pytorch ⭐ 100

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Fastai_extensions ⭐ 87

Code you can use jointly with fastai

Context_aug ⭐ 86

Context-driven data augmentation for Object Detection (ECCV'18)

Learning Invariances ⭐ 85

Codebase for Learning Invariances in Neural Networks

P5_vehicledetection_unet ⭐ 84

p5_VehicleDetection_Unet

TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".

CNN implementation for medical X-Ray image segmentation

Freesound Audio Tagging 2019 ⭐ 62

Freesound Audio Tagging 2019

Keras Image Data Augmentation ⭐ 60

keras ImageDataGenerator example

Self Driving Car Engines ⭐ 58

Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.

Cap_augmentation ⭐ 58

Cut and paste augmentation for object detection and instance segmentation

Simclr In Tensorflow 2 ⭐ 57

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

YoloV3 in Pytorch and Jupyter Notebook

Fastai_sparse ⭐ 42

3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks

Tgs Saltidentification Open Solution Fastai ⭐ 40

S4tf Tutorials ⭐ 40

Repository for reviews and evaluations of converted Swift Notebooks as part of GSoC '19 program

Uda Pytorch ⭐ 39

Unsupervised Data Augmentation experiments in PyTorch

Edgeaicontest3 ⭐ 39

This repository present MLT Team solution for the The 3rd AI Edge Contest.

Sound Clf Pytorch ⭐ 39

Sound classifier tutorials/examples in PyTorch

Brain Tumor Detection ⭐ 39

Brain Tumor Detection Using Convolutional Neural Networks.

Smoke Semantic Segmentation ⭐ 35

Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation

Bounding box augmentations for Pytorch

Stanford Cars ⭐ 31

Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset

Bird_cocktail ⭐ 28

Stanford CS230 Win2018 project

An autonomous RC car

Dku Kaggle Class ⭐ 28

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

Dataset Cleaner ⭐ 27

Notebook with the necessary instructions and code to clean your computer vision dataset

Oda Object Detection Tta ⭐ 27

ODA is a test-time-augmentation(TTA) tool for 2D object detectors. For use in Kaggle competitions.

Fastai2_extensions ⭐ 26

Extensions for the `fastai2` library in the form of data augmentations and inference utilities. Specific to computer vision models. Inference utilities are built with a focus on single-label (softmax) classifiers.

Fast Reinforcement Learning ⭐ 26

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

Kaggle_birdcall_identification ⭐ 26

Code for the Cornell Birdcall Identification competition

Differentiable Data Augmentation Library

Keras_tutorial ⭐ 23

Ktextaug ⭐ 23

Data Augmentation Toolkit for Korean text.

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.

Fulu is a python library of supernova light curves approximation methods based on machine learning.

Hakuna Madata ⭐ 21

Nolearn_utils ⭐ 21

Utilities for nolearn.lasagne

Deep Chemometrics ⭐ 21

Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)

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.

Thickstun2018invariances ⭐ 20

Experiments for Invariances and Data Augmentation for Supervised Music Transcription

Multiscale Cnn Classifier ⭐ 19

Reproduce GTSRB results of classic deep learning papers.

Speech Commands Classification By Lstm Pytorch ⭐ 19

Classification of 11 types of audio clips using MFCCs features and LSTM. Pretrained on Speech Command Dataset with intensive data augmentation.

Code for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"

Learningwithpython ⭐ 17

Unconventional Wisdom ⭐ 17

[ICBSLP 2018] 6th place solution to Kaggle Bengali Handwritten Higit Recognition

Cat Dog Cnn Classifier ⭐ 16

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Medgan Tips ⭐ 16

[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.

P3 Behaviorcloning ⭐ 16

Project files for Udacity's Self-driving Car NanoDegree p3-BehaviorCloning

Mobilepose Pytorch ⭐ 15

Single Person Pose Estimation for Mobile Device

Tensorflow Crack Classification ⭐ 15

CNN for crack classification, intended for use in a crack inspection pipeline (see references).

Contrastive Learning for Time Series

Cifar100 ⭐ 14

Convolution neural networks to classify cifar 100 images

Augmentation Packages Overview ⭐ 14

Repository contains Jupiter notebook and materials for image augmentation packages overview

Primer Motioncapture ⭐ 14

A Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives

Document Image Augmentation ⭐ 14

Document Image Augmentation is tool for Augmenting axis align document images

Spatial Pytorch ⭐ 13

Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).

Self Driving Car Steering Simulator ⭐ 13

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

Cifar 10_resnet_tensorflow ⭐ 13

resnet Identity Mappings in tensorflow

Learning_data_aug ⭐ 13

OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/

Retrosynthesis Prediction ⭐ 13

Retrosynthesis reaction prediction using Transformer sequence to sequence models and SMILES based data augmentation

Mn_classifier_cnns ⭐ 12

A convolutional neural network classifier for determining the oxidation state of Manganese

Tinymind Competition ⭐ 11

A competition, for more details please refer to 'https://www.tinymind.cn/competitions/41'

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Deeplearning.ai Tensorflow_developer Specialization ⭐ 11

This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI

Data Augmentation For Object Detection ⭐ 10

Data Augmentation For Object Detection using Pytorch and PIL

Code for "CNN^2: Viewpoint Generalization via a Binocular Vision" (NeurIPS 2019)

Ship Image Classification Challenge ⭐ 10

Solution for Analytic's Vidhya Game of Deep Learning Shiip Image Classification Challenge

Maskrcnn Utils ⭐ 10

Utilities for working with Mask R-CNN, a neural network for object instance segmentation.

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