351 Open source projects that are alternatives of or similar to Kaggle Carvana Image Masking Challenge

a solution for competition of kaggle `Human or Robot`

Joint Semi-supervised Learning of Image Registration and Segmentation

📚 记录一些自己读过的论文与笔记

This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Team GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch.

TrackNet for badminton tracking using tensorflow2

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

U-Net: Convolutional Networks for Image Segmentation by TensorFlow

Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

Solution of the Titanic Kaggle competition

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Deep Learning for Computer Vision (CommE 5052) in NTU

Kaggle Titanic example

The Java implementation of Dive into Deep Learning (D2L.ai)

2021年计算机视觉技术综述分类汇总

2nd place solution to Kaggle's Cdiscount image classification challange.

Extract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.

Image Processing techniques using OpenCV and Python.

A PyTorch collection of semantic segmentation tools.

A repository for some of the code I used in kaggle data science & machine learning tasks.

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

🏁 API client for Kaggle

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Code for meta-learning initializations for image segmentation

Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

Fast k-Nearest Neighbors Classifier for Large Datasets

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

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

Facial Expression Recognition

Research internship - Image segmentation by superpixels based on PyTorch

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

16th place solution of the Kaggle Statoil/C-CORE Iceberg Classifier Challenge

Earthquake Prediction Challenge with LightGBM and XGBoost

Some tools that I often find myself using in Kaggle challenges.

Kaggle "Microsoft Malware Classification Challenge". 6th place solution

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

CNN histopathologic tumor identifier.

A experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

10th place solution to the $1,500,000 Kaggle Passenger Screening Challenge sponsored by the Department of Homeland Security.

A collection of my blogs on Data Science and Machine learning.

19th place solution in "Predicting Molecular Properties"

🌍 Where will a new guest book their first travel experience?

Cool Vision projects

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Prostate MR Image Segmentation 2012

some loss functions of image segmentation

No description or website provided.

Implementation of Uformer, Attention-based Unet, in Pytorch

Disclaimer: This is the detailed notes for PadhAI onefourthlabs course “A First Course on Deep Learning".

Fashion item segmentation with deep learning