1915 Open source projects that are alternatives of or similar to Open Solution Salt Identification

Lightweight, Python library for fast and reproducible experimentation 🔬

Segmentation models with pretrained backbones. PyTorch.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Open solution to the Mapping Challenge 🌎

Open solution to the Data Science Bowl 2018

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

Catalyst.Segmentation

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Materials for GWU DNSC 6279 and DNSC 6290.

Lung segmentation for chest X-Ray images

Smart India Hackathon 2019 project given by the Department of Atomic Energy

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Function-oriented Make-like declarative workflows for R

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Neural networks training pipeline based on PyTorch

Always know what to expect from your data.

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

Medical image processing in Python

Teaching Materials for Dr. Waleed A. Yousef

CVPR 2021 论文和开源项目合集

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

Open solution to the Toxic Comment Classification Challenge

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

LAMA - automatic model creation framework

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Full web grabcut example using opencvjs

A Julia machine learning framework

Best Practices, code samples, and documentation for Computer Vision.

A PyTorch collection of semantic segmentation tools.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

Implementation of Uformer, Attention-based Unet, in Pytorch

PyTorch implementation of UNet++ (Nested U-Net).

Deep Learning Computer Vision Algorithms for Real-World Use

PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

MLBox is a powerful Automated Machine Learning python library.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

A simple Spark-powered ETL framework that just works 🍺

End-to-end image segmentation kit based on PaddlePaddle.

Curated set of transformers that make your work with steppy faster and more effective 🔭

Easy pipelines for pandas DataFrames.

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Data transformations for the ML era

Example workflows for the drake R package

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Tensorflow implement of U-Net

Accelerated deep learning R&D

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

An R-focused pipeline toolkit for reproducibility and high-performance computing

Automatic detection of plant diseases