6419 Open source projects that are alternatives of or similar to Kaggle Carvana Image Masking Challenge

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.

top 1% solution to toxic comment classification challenge on Kaggle.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

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

Allstate Kaggle Competition ML Capstone Project

Credit card fraud detection through logistic regression, k-means, and deep learning.

The repository provides usefull python scripts for ML and data analysis

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

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

Develop production ready deep learning code, deploy it and scale it

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Interview = 简历指南 + LeetCode + Kaggle

📢 Ready to learn or review your knowledge!

A collection of notebooks of my Machine Learning class written in python 3

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Kaggle Data Science Bowl 2018

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

A community run, 5-day PyTorch Deep Learning Bootcamp

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

3D U-Net model for volumetric semantic segmentation written in pytorch

Simplest and fastest image and text annotation tool.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

An awesome semantic segmentation model that runs in real time

Solution to Kaggle - Web Traffic Time Series Forecasting

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Diseases Detection from NIH Chest X-ray data

Sample notebooks for Kaggle competitions

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

kaggle Dog Breed Identification

Tensorflow implementation : U-net and FCN with global convolution

Comparison tools

1st place solution

数据科学竞赛知识、代码、思路

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Pytorch starter kit for Kaggle competitions

FC-DenseNet in PyTorch for Semantic Segmentation

An out-of-box human parsing representation extractor.

Kaggle airbus ship detection challenge 21st solution

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

从零基础开始机器学习之旅

深度学习在推荐系统中的应用及论文小结。

猫狗大战

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

CatBoost tutorials repository

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition