463 Open source projects that are alternatives of or similar to cellcount

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

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

The new and improved 2018 version of the EMBL Python BioImage Analysis Tutorial. Now finally in python 3!

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

Burmese (Myanmar) syllable level segmentation with regex.

Tensorflow implementation : U-net and FCN with global convolution

Neural Network for Dying Hair💈

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Multiple sequence alignment with top benchmark scores scalable to thousands of sequences. Generates replicate alignments, enabling assessment of downstream analyses such as trees and predicted structures.

Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

OpenMMLab Model Compression Toolbox and Benchmark.

KiTS19——2019 Kidney Tumor Segmentation Challenge

BlindAssist iOS app

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Research Pipeline for image masking/segmentation in Keras

Patch-based 3D U-Net for brain tumor segmentation

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

《深度学习与计算机视觉》配套代码

TF2 implementation of PointNet for segmenting point clouds

Source code for an ACL2016 paper of Chinese word segmentation

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Pointwise Rotation-Invariant Network (AAAI 2020)

DroneDeploy Machine Learning Segmentation Benchmark

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

The Geometry and Image-Based Bioengineering add-On for MATLAB

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Fashion Item segmentation with Mask_RCNN

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.

RNAcentral website source code

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

Bioclipse2 Core.

An Implementation of Fully Convolutional Networks in Tensorflow.

Precision current source, with optional optical feedback, for driving LEDs and laser diodes

3D Unet Equipped with Advanced Deep Learning Methods

Bayesian Segmentation of Spatial Transcriptomics Data

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

A taxonomic toolbelt for R

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Binomica Public Repository for Biological Parts

Generalized Data-free Universal Adversarial Perturbations

A powerful open source data warehouse system

Switchable Normalization for semantic image segmentation and scene parsing.

Digital Pathology AI

Ten Quick Tips for Deep Learning in Biology

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

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

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

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

Fast English word segmentation in Rust

MONAI Label is an intelligent open source image labeling and learning tool.

A segmentation engine for Django user models

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space