Topic: data-augumentation Goto Github
Some thing interesting about data-augumentation
Some thing interesting about data-augumentation
data-augumentation,MINI PROJECTS AND VARIOUS CASE STUDY FOR CNN
User: apoorv070
data-augumentation,3 deep learning competitions consisting of Image Classification, Image Segmentation, Visual Question Answering
User: arigalzi
data-augumentation,Explore CIFAR10 dataset through creating a Feed Forward Neural Network, training a CNN from scratch, and implementing advanced techniques like data normalization, augmentation, and ResNets in PyTorch to achieve over 90% accuracy.
User: asadayub1
data-augumentation,This solution is designed to help you unlock legacy mainframe data by migrating data files from mainframe systems to AWS. By migrating the data, you can make use of the powerful analytics, machine learning, and other services available in AWS to gain insights and make better decisions based on the data.
Organization: aws-samples
data-augumentation,This repository contains all the Deep Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the deep learning frameworks such as tensorflow, opencv, keras, spacy and pytorch.
User: bnriiitb
data-augumentation,This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.
Organization: declare-lab
data-augumentation,Generate MNIST digit sequence images from MNIST dataset
User: esh-b
data-augumentation,Main idea of this project was making some new data using simple registration technique from existing CT data. This code be a possible alternative of arbitrary augmentation such as flip, rotation, zoom etc.
User: fitushar
data-augumentation,Transformations for image + bboxes using PIL and Pytorch
User: g-st180
data-augumentation,Working on a computer vision project that can predict 9 different classes of tomato plant disease as well as a healthy plant.
User: godson199
data-augumentation,Traffic Sign Detection CNN app
User: gpriya32
data-augumentation,This is a data augmentation tool for creating augmented data from a bunch of images under directory with GUI.
User: gulerenes
data-augumentation,Implement mosaic image augmentation with YOLO format
User: huytranvan2010
data-augumentation,neural networks are cool but can they count?
User: i008
data-augumentation,Script to randomly apply Geometric Transformations/Noise on an image, generating an output slightly different (or not). This is usually used in Machine Learning for data augmentation.
User: jeanvit
data-augumentation,Classification of flowers , by finetuning Resnets and Inception models also image augmentation and random image erasing
User: karthik-archit
data-augumentation,Data augmentation for time series classification
User: letiziaia
data-augumentation,
User: mdube9
data-augumentation,The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"
Organization: mlgroup-jlu
Home Page: https://arxiv.org/abs/2401.15422
data-augumentation,This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.
User: mozammalrahat
data-augumentation,Data Augmentation For Object Detection using Deep Learning with PyTorch
User: nisheethjaiswal
data-augumentation,Deep Learning: Traffic Sign Classifier with TensorFlow
User: overtane
data-augumentation,Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
User: rikiyay
Home Page: https://arxiv.org/abs/2102.01678
data-augumentation,In this project, I have used Nvidia's CNN model to mimic human driver's behavior using a simulator.
User: sabki
data-augumentation,A light weight CLI for augmenting image datasets for deep learning and ML projects
User: shvbsle
data-augumentation,
User: ssq
data-augumentation,Classifies whether an image is of a dog or cat using pre-trained models
User: surya-prakash-reddy
data-augumentation,Code for reproducing Manifold Mixup results (ICML 2019)
User: vikasverma1077
data-augumentation,An example of how to automate the process of training data generation through gprMax for use in machine learning models.
User: will-rice
data-augumentation,A binary-classifier(pneumonia vs normal) in xray14
User: zhangrong1722
data-augumentation,[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Organization: zjunlp
Home Page: https://zjunlp.github.io/project/LREBench
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