433 Open source projects that are alternatives of or similar to Instaboost

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

Medical image preprocessing and augmentation toolkit for deep learning

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

Image Test Time Augmentation with PyTorch!

Cut and paste augmentation for object detection and instance segmentation

Catalyst.Segmentation

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Simple image augmentation library focusing on random geometric cropping

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

All-in-one Toolbox for Computer Vision Research.

PyTorch Implementation for Segmentation and Saliency Prediction

ICCV2019最新录用情况

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

a multi-browser download manager with multi-threading support

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

A Thai word tokenization library using Deep Neural Network

Pytorch code for semantic segmentation using ERFNet

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

Stemmer for German

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

CharlesCD is an open source tool that makes deployments more agile, continuous and safe, which allows development teams to perform hypothesis validations with a specific group of users, simultaneously.

Semi-Supervised Video Object Segmentation(VOS) Paper List

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

Mask RCNN in TensorFlow

A robust laser stripe extraction method for structured-light vision sensing

unet for image segmentation

TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"

Generic framework for historical document processing

A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Holistically-Nested Edge Detection

📣 Python library for audio augmentation

DeltaPy - Tabular Data Augmentation (by @firmai)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

Segmentation models with pretrained backbones. PyTorch.

Bayesian Segmentation of Spatial Transcriptomics Data

Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"

Realtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.

A deep-learning pipeline for segmentation of ambiguous microscopic images.

Unofficial PyTorch Reimplementation of RandAugment.

DilatedNet in Keras for image segmentation

Multi-platform, free open source software for visualization and image computing.

Distributed segmentation for bio-image-analysis

CNN implementation for medical X-Ray image segmentation

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Data Augmentation for Neural Machine Translation

Face Video Segmentation - Face segmentation ground truth from videos

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.