GitHub topics: data-augmentation
yagizefekose6/FloodDetectionNet
Flood Detection using U-Net with Attention Mechanism
Language: Python - Size: 7.81 KB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 0 - Forks: 0
webdataset/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Language: Python - Size: 51.6 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 2,586 - Forks: 205
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Language: Python - Size: 25.3 MB - Last synced at: about 9 hours ago - Pushed at: 10 months ago - Stars: 3,160 - Forks: 414
sankoktas/bhi360-fall-detection
Fall detection system using Bosch BHI360 sensor data with time-series labeling, feature extraction, and machine learning (LOSO CV + Gradient Boosting).
Language: Jupyter Notebook - Size: 49.5 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
sim1-99/Causality-Medical-Image-Domain-Generalization Fork of cheng-01037/Causality-Medical-Image-Domain-Generalization
[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
Language: Jupyter Notebook - Size: 428 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
vanderschaarlab/synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Language: Python - Size: 6.76 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 545 - Forks: 74
Anzar18/FloodDetectionNet
Flood Detection using U-Net with Attention Mechanism
Language: Python - Size: 6.84 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
fmenat/DSensDp
Public repository of our work in Decision-level Sensor Dropout in combination with Mutual Distillation
Language: Python - Size: 461 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
fmenat/CoM-views
Public repository of our work in all Combinations of Missing (CoM) views in multi-view learning models
Language: Python - Size: 1.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
Jorgen98/LineShaper
Interactive tool for generating geographically accurate definitions of public transport routes.
Language: TypeScript - Size: 6.34 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
Tebmer/Awesome-Knowledge-Distillation-of-LLMs
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
Size: 18.6 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 1,015 - Forks: 60
RuoyuChen10/CCL-FSOD
[TPAMI 2025] Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Language: Python - Size: 1.67 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 20 - Forks: 1
AvaAvarai/Java_Tabular_Vis_Toolkit
Cross-platform tool for Computational Interactive Visual Learning using lossless General Line Coordinate data visualizations and human-in-the-loop guided classification by eight classifier algorithms to find, test, and boost robust machine learning models with a goal of high case to parameter ratio.
Language: Java - Size: 241 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 3 - Forks: 1
Twilight-skylight/NeuraScan
An AI-powered platform for brain MRI analysis and tumor classification, providing instant insights and detailed medical reports.
Language: TypeScript - Size: 1.84 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Language: C++ - Size: 394 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5,383 - Forks: 634
bethgelab/imagecorruptions
Python package to corrupt arbitrary images.
Language: Python - Size: 4.95 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 431 - Forks: 72
marian-nmt/sotastream
A library for data streaming and augmentation
Language: Python - Size: 540 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 20 - Forks: 3
styfeng/DataAug4NLP
Collection of papers and resources for data augmentation for NLP.
Size: 120 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 827 - Forks: 77
lielsheri/PatientSignal
Diagnosing Through the Noise: Understanding Patient Self‑Descriptions
Size: 11.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
AlexanderVNikitin/tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24
Language: Python - Size: 9.81 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 165 - Forks: 17
HMUNACHI/halo
A Library That Uses Quantized Diffusion Model With Clustered Weights For Efficiently Generating More Image Datasets On-Device.
Language: Python - Size: 1.47 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 1
iberganzo/ArchaeolDA
ArchaeolDA. Data Augmentation tool for Deep Learning algorithms
Language: Python - Size: 54.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 4 - Forks: 0
mratsim/Amazon-Forest-Computer-Vision
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: 1 day ago - Pushed at: over 5 years ago - Stars: 369 - Forks: 73
imedslab/solt
Streaming over lightweight data transformations
Language: Jupyter Notebook - Size: 34.4 MB - Last synced at: 2 days ago - Pushed at: 6 days ago - Stars: 265 - Forks: 19
DeepTrackAI/DeepTrack2
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.
Language: Jupyter Notebook - Size: 605 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 199 - Forks: 56
mlcommons/GaNDLF
A generalizable application framework for segmentation, regression, and classification using PyTorch
Language: Python - Size: 69.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 174 - Forks: 86
TorchIO-project/torchio
Medical imaging processing for AI applications.
Language: Python - Size: 44.4 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 2,200 - Forks: 246
vishal220703/AutoVision
Deep learning project for autonomous vehicles combining semantic segmentation (U-Net variants) and object detection (YOLOv3/YOLOv8) using camera.
Language: Jupyter Notebook - Size: 6.54 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
iver56/audiomentations
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Language: Python - Size: 10.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 2,025 - Forks: 201
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Language: Python - Size: 3.68 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 650 - Forks: 59
DonorNearBy/YOLO12-UnderWater
YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).
Language: Python - Size: 52.1 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
sunaglmez/Data-Augmentation-for-Sperm-Morphology-Images
The sperm_data_augmentation and sperm_data_preprocessing tools enhance and prepare sperm images 🧬 by applying augmentation techniques 🔄 and preprocessing steps 🧑🔬 for model training 🤖, contributing to medical research and analysis in reproductive health 🩺.
Language: Python - Size: 30.3 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0
GabrieleLozupone/LDAE
Official PyTorch implementation of "Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging". LDAE is a novel unsupervised framework for 3D medical imaging that combines a latent diffusion model with semantic controls.
Language: Jupyter Notebook - Size: 6.82 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 6 - Forks: 0
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Size: 444 KB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 1,406 - Forks: 167
ZhaoJ9014/face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Language: Python - Size: 8.11 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 3,509 - Forks: 758
zhanlaoban/EDA_NLP_for_Chinese
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。
Language: Python - Size: 22.5 KB - Last synced at: about 9 hours ago - Pushed at: almost 3 years ago - Stars: 1,372 - Forks: 240
angelalim88/RockPaperScissor-Image-Prediction
This project builds a CNN using TensorFlow to classify images of rock, paper, and scissors gestures, achieving high accuracy through data augmentation and training on a dataset of 2,188 images.
Language: Jupyter Notebook - Size: 150 MB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
tinh2044/YOLO12-UnderWater
YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).
Language: Python - Size: 52.1 MB - Last synced at: 6 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
VyjayanthiPolapragada/Image_Classifier_CNN_Data_Augmentation
A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
zhunzhong07/Random-Erasing
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Language: Python - Size: 15.6 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 729 - Forks: 156
LybahNisar/HandWritten-Digit-Recognization-using-Deep-Learning
Handwritten digit recognition on the MNIST dataset using deep learning techniques, achieving up to 99% accuracy with Dense Networks, CNNs, Data Augmentation, Dropout, and Autoencoders.
Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
mimihime0/CNN-Fashion-MNIST-Classifier
A convolutional neural network (CNN) for classifying the Fashion-MNIST dataset. Includes experiments with regularization techniques, data augmentation, and hyperparameter tuning to optimize model performance, achieving 89.76% test accuracy.
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
PrasannaPulakurthi/Foreground-Background-Augmentation
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data.
Language: Python - Size: 3.35 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
Language: Python - Size: 279 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 5,852 - Forks: 857
Zehong-Wang/Awesome-Foundation-Models-on-Graphs
A collection of graph foundation models including papers, codes, and datasets.
Size: 3.61 MB - Last synced at: 4 days ago - Pushed at: 26 days ago - Stars: 13 - Forks: 3
roatienza/straug
Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.
Language: Python - Size: 2.55 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 258 - Forks: 36
AsaqeLee/ml-signal-dataset-builder-with-config
这是一个机器学习信号数据集生成工具 ，支持生成窄带（Narrowband）、宽带（Wideband）、扫频（Sweep）干扰信号 。用户可通过配置文件灵活调整参数（如信号频率、带宽、信噪比等），并内置数据增强功能 （如相位偏移、时频扰动、I/Q不平衡等），以提升数据多样性和模型鲁棒性。
Language: MATLAB - Size: 796 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
visual-layer/fastdup
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
Language: Python - Size: 1.73 GB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 1,677 - Forks: 81
xlite-dev/torchlm
💎A high level pipeline for face landmarks detection: train, eval, inference (Python/C++) and 100+ data augmentations.
Language: Python - Size: 154 MB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 257 - Forks: 24
asteroid-team/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Language: Python - Size: 2.28 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 1,032 - Forks: 91
alexjfoote/reetoolbox
Toolbox for measuring adversarial robustness to many transforms
Language: Jupyter Notebook - Size: 80.3 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 19 - Forks: 3
zoj613/polyagamma
An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
Language: C - Size: 1020 KB - Last synced at: 3 days ago - Pushed at: 20 days ago - Stars: 25 - Forks: 4
ZhiningLiu1998/BAT
[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
Language: Python - Size: 122 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 25 - Forks: 1
textflint/textflint
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Language: Python - Size: 11.6 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 644 - Forks: 95
Westlake-AI/Awesome-Mixup
[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)
Size: 848 KB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 148 - Forks: 11
bcmi/Awesome-Few-Shot-Image-Generation
A curated list of papers, code and resources pertaining to few-shot image generation.
Size: 82 KB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 374 - Forks: 46
cuge1995/PointCutMix
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
Language: Python - Size: 4.76 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 60 - Forks: 15
bmcfee/muda
A library for augmenting annotated audio data
Language: Python - Size: 2.94 MB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 234 - Forks: 33
justinsalamon/scaper
A library for soundscape synthesis and augmentation
Language: Python - Size: 65.6 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 398 - Forks: 60
monetjoe/EMelodyGen
Emotionally Conditioned Melody Generation in ABC Notation
Language: Python - Size: 1.69 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 9 - Forks: 0
Tobi-Tob/DataAugmentationDiffusionModels
The goal of this project is to improve data augmentation by incorporating a diffusion model, with a special focus on enriching semantic diversity. The Few-Shot Classification Performance is used as a metric for evaluating the implemented improvements.
Language: Jupyter Notebook - Size: 486 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0
MuhangTian/TimeDiff
Code to generate realistic synthetic healthcare data with diffusion models
Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 16 - Forks: 4
DemisEom/SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Language: Python - Size: 428 KB - Last synced at: 14 days ago - Pushed at: about 3 years ago - Stars: 648 - Forks: 134
denisyarats/drq
DrQ: Data regularized Q
Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 415 - Forks: 53
hubtru/ASCDomain
Data loader and solution method for the DCASE 2024 Challenge Task1
Language: Python - Size: 1.01 GB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
arian-askari/ChatGPT-RetrievalQA-CIKM2023
A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.
Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 141 - Forks: 7
firmai/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 543 - Forks: 55
goru001/inltk
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Language: Python - Size: 812 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 830 - Forks: 161
dmey/synthia
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
Language: Python - Size: 19.7 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 62 - Forks: 9
sutd-visual-computing-group/dag-gans
Data Augmentation optimized for GAN
Language: Python - Size: 84 KB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 11
dbaofd/object-aware-crop
Object-Aware Crop (OA Crop) is a novel cropping algorithm designed for object detection tasks. It generates image crops from high-resolution images without cutting through objects, preserving full object context for more effective model training.
Language: Python - Size: 1.19 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
q-viper/SmokeSim
A story of a guy trying to model some chaos systems....
Language: Jupyter Notebook - Size: 45.6 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 5 - Forks: 0
YuliangXiu/MobilePose
Light-weight Single Person Pose Estimator
Language: Jupyter Notebook - Size: 37 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 641 - Forks: 149
SedatDikbas/cifar10-transfer-learning
Bu proje, CIFAR-10 veri seti üzerinde transfer öğrenme yöntemlerini kullanarak görüntü sınıflandırma yapmayı amaçlamaktadır. Farklı derin öğrenme modelleri (VGG16, InceptionV3, ResNet50, MobileNetV2, DenseNet121) ile eğitim yapılmış ve her modelin performansı karışıklık matrisleri ile değerlendirilmiştir.
Language: Jupyter Notebook - Size: 201 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0
Paperspace/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
Language: Jupyter Notebook - Size: 9.93 MB - Last synced at: 28 days ago - Pushed at: about 5 years ago - Stars: 1,145 - Forks: 320
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.
Size: 3.59 MB - Last synced at: 27 days ago - Pushed at: 9 months ago - Stars: 1,632 - Forks: 207
425776024/nlpcda
一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda
Language: Python - Size: 1.05 MB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 1,823 - Forks: 169
Silvano315/Gen-AI-for-Data-Augmentation
This is the ninth project of AI Engineering Master. It aims to use generative models to create variants of the images and texts, thus enriching the dataset with artificially generated data. Train an image recognition model using the extended dataset, evaluating the quality of the data produced
Language: Python - Size: 14.8 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0
KentoNishi/Augmentation-for-LNL
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
Language: Python - Size: 50.1 MB - Last synced at: 1 day ago - Pushed at: over 3 years ago - Stars: 113 - Forks: 12
Yonsei-STL/pix2next
Official implementation of "Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation"
Language: Python - Size: 34.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
sparkfish/augraphy
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
Language: Python - Size: 245 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 404 - Forks: 48
RamamAgarwal/Project_Wildlife_Classification
This project deals with Wildlife Classification using Computer Vision and Image Processing
Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2
isarandi/synthetic-occlusion
Synthetic Occlusion Augmentation
Language: Python - Size: 373 KB - Last synced at: 26 days ago - Pushed at: about 5 years ago - Stars: 121 - Forks: 19
sshuair/torchsat
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Language: Python - Size: 41.3 MB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 397 - Forks: 50
SigVarGen/SigVarGen
SigVarGen is a Python framework for time-series signal generation, data augmentation, and anomaly simulation. It creates diverse 1D signal variants under controlled conditions, including idle-state, perturbed, and noisy signals.
Language: Jupyter Notebook - Size: 84 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0
TimKong21/Polyp-Segmentation
Polyp segmentation tool utilizing U-Net for accurate medical image analysis, designed to enhance early detection and diagnosis of colorectal cancer. Features a user-friendly Streamlit web app for easy image processing and analysis, leveraging the Kvasir-SEG dataset for improved healthcare outcomes.
Language: Jupyter Notebook - Size: 200 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 4
AIoT-MLSys-Lab/DeepAA
[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang
Language: Python - Size: 1.01 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 64 - Forks: 3
snu-mllab/PuzzleMix
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
Language: Jupyter Notebook - Size: 86.5 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 159 - Forks: 18
kmalialis/siameseduo
SiameseDuo++ (Neurcomputing 2025)
Size: 1.95 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
abrahamkoloboe27/Fruits-Recognition-Training
Projet de Classification d'Images de Fruits
Language: Jupyter Notebook - Size: 579 MB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 9 - Forks: 2
amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Language: Jupyter Notebook - Size: 136 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 469 - Forks: 326
OmarSamirz/ImageFromTextGenerator
IFTG (ImageFromTextGenerator) is a Python package that simplifies creating robust datasets for OCR models. Generate images from text, apply over 10 built-in noise effects, and customize fonts and layouts. IFTG supports all languages and offers endless noise combinations, including custom noise creation.
Language: Python - Size: 15.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 14 - Forks: 1
MHosseinHashemi/Box-n-Label-Augmentation-Module
Automate image and label augmentation for object detection tasks with this Python package. Supports various augmentation techniques including Salt and Pepper Noise, Brightness adjustment, Flipping, Histogram Equalization, Rotation, Blurring, Shifting and etc.
Language: Python - Size: 413 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
arundo/tsaug
A Python package for time series augmentation
Language: Python - Size: 21.4 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 352 - Forks: 37
clementchadebec/pyraug
Data Augmentation with Variational Autoencoders (TPAMI)
Language: Python - Size: 10.3 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 140 - Forks: 14
jim-schwoebel/allie
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
Language: Python - Size: 275 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 143 - Forks: 35
MinhHung7/Face-Recognition-in-Near-Infrared-Images
A face-recognition project used for "Recognition" subject. The goal is face-human recognition in Near-Infrared (NIR) images
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
codebox/image_augmentor
Data augmentation tool for images
Language: Python - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 454 - Forks: 156
ThalesGroup/pythagore-mod-reco
Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models
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SakshiAher-Codes/Detection-of-Face-Swap-based-Deep-Fake-Videos
This repository contains a Deep Fake Detection model that uses Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to analyze videos and detect deepfake content. The model extracts frames from videos, processes them using deep learning techniques, and determines whether the video is real or fake based on trained data.
Language: Jupyter Notebook - Size: 76.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
