6333 Open source projects that are alternatives of or similar to Severstal Steel Defect Detection

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

阿水的数据竞赛开源分支

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

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

DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery

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

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Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

Tensorflow implementation : U-net and FCN with global convolution

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

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

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My kaggle competition solution and notebook

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PyTorch Connectomics: segmentation toolbox for EM connectomics

A community run, 5-day PyTorch Deep Learning Bootcamp

Solution to Kaggle - Web Traffic Time Series Forecasting

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

FSGAN - Official PyTorch Implementation

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.

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

hair segmentation in mobile device

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

a generalist algorithm for cellular segmentation

Kaggle airbus ship detection challenge 21st solution

An awesome semantic segmentation model that runs in real time

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).

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

unet for image segmentation

Sample notebooks for Kaggle competitions

Dstl Satellite Imagery Feature Detection

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.

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Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

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next generation slides for Jupyter Notebooks

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

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a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

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NMT for chinese-english using fairseq

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