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125 search results found

Imgaug ⭐ 13,682

Image augmentation for machine learning experiments.

Albumentations ⭐ 13,417

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 ⭐ 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 ⭐ 1,904

Medical imaging toolkit for deep learning

Torchsample ⭐ 1,829

High-Level Training, Data Augmentation, and Utilities for Pytorch

Byol Pytorch ⭐ 1,630

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Audiomentations ⭐ 1,605

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

Pytorch Toolbelt ⭐ 1,458

PyTorch extensions for fast R&D prototyping and Kaggle farming

Lightweight Gan ⭐ 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 ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

Torchdyn ⭐ 1,187

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

Image Test Time Augmentation with PyTorch!

Torch Audiomentations ⭐ 823

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

📝 This repository recorded my NLP journey.

High-performance Vision library in Python. Scale your research, not boilerplate.

Dataaugmentationforobjectdetection ⭐ 609

Data Augmentation For Object Detection

Pytorch Randaugment ⭐ 557

Unofficial PyTorch Reimplementation of RandAugment.

Long-Term Evolution Project of Reinforcement Learning

Efficient Learning of Augmentation Policy Schedules

Tensorlayer Tricks ⭐ 351

How to use TensorLayer

Copy Paste Aug ⭐ 306

Copy-paste augmentation for segmentation and detection tasks

A Python package for time series augmentation

RAD: Reinforcement Learning with Augmented Data

Argus Freesound ⭐ 266

Kaggle | 1st place solution for Freesound Audio Tagging 2019

Pytorch Kaggle Starter ⭐ 258

Pytorch starter kit for Kaggle competitions

Xview Yolov3 ⭐ 233

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Pytorch Deep Learning Template ⭐ 206

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

Iciar2018 ⭐ 159

Our solution for ICIAR 2018 Grand Challenge

Deep Unet For Satellite Image Segmentation ⭐ 155

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Pytorch_connectomics ⭐ 151

PyTorch Connectomics: segmentation toolbox for EM connectomics

Wb_color_augmenter ⭐ 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 ⭐ 139

🌁 Image retrieval using deep learning of global descriptors.

Chainer Cifar10 ⭐ 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 ⭐ 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 ⭐ 121

A list of extensions for the fastai library.

Ti Pooling ⭐ 117

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Kaggle Freesound Audio Tagging ⭐ 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

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 ⭐ 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.

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 ⭐ 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 ⭐ 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 ⭐ 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

Generative modeling of synthetic time series data and time series augmentations

Simclr In Tensorflow 2 ⭐ 57

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

YoloV3 in Pytorch and Jupyter Notebook

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 ⭐ 56

Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)

Semantic Segmentation With Mobilenetv3 ⭐ 50

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Multiclass Semantic Segmentation ⭐ 48

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]

Keras_deeplearning_example ⭐ 46

An image database for deep learning.

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.)

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 ⭐ 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 ⭐ 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)

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

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 ⭐ 23

A pytorch implementation of yolov3

Zindi_wheat_growth ⭐ 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.

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)

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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