6295 Open source projects that are alternatives of or similar to Cellpose

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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.

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Dstl Satellite Imagery Feature Detection

A PyTorch implementation of PointRend: Image Segmentation as Rendering

unet for image segmentation

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

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

Kaggle Segmentation Challenge

Kaggle airbus ship detection challenge 21st solution

An awesome semantic segmentation model that runs in real time

PyTorch Connectomics: segmentation toolbox for EM connectomics

FSGAN - Official PyTorch Implementation

hair segmentation in mobile device

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Bayesian neural network using Pyro and PyTorch on MNIST dataset

code for R-C3D

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

三个月教你从零入门深度学习Tensorflow版配套代码

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

ENet - A Neural Net Architecture for real time Semantic Segmentation

Hands-On Computer Vision with TensorFlow 2, published by Packt

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Open Content for self-directed learning in data science

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

for code created as part of http://studywolf.wordpress.com

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

Easy to use Python camera interface for NVIDIA Jetson

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

Tutorial for using Kitti dataset easily

This something about deep learning on Coursera by Andrew Ng

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Interactive JavaScript and TypeScript programming with Jupyter

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

A collection of all my datasets

Client side rendering of Jupyter notebooks

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

Reinforcement learning with A* and a deep heuristic

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases