292 Open source projects that are alternatives of or similar to Outbrain Click Prediction Kaggle

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

文本分类基准测试

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Serverless Inferencing on Kubernetes

1st place solution

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

A curated list of gradient boosting research papers with implementations.

8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

State-of-the art Automated Machine Learning python library for Tabular Data

kaggle Dog Breed Identification

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Kaggle-like machine learning competition platform

Pytorch starter kit for Kaggle competitions

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

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

📢 Ready to learn or review your knowledge!

The repository provides usefull python scripts for ML and data analysis

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

H2O.ai Machine Learning Interpretability Resources

Code for RECRUIT Challenge. 5th place.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

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

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

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

Diseases Detection from NIH Chest X-ray data

Kaggle TGS Salt Identification Challenge 2018 4th place code

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

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bert on Jigsaw Unintended Bias in Toxicity Classification

Pure Java implementation of XGBoost predictor for online prediction tasks.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Open solution to the Mapping Challenge 🌎

solution for the American Epilepsy Society Seizure Prediction Challenge

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Speech commands recognition with PyTorch

Kaggle | 1st place solution for Freesound Audio Tagging 2019

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

9th Place Solution of Kaggle Global Wheat Detection

Machine learning models for time series analysis

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

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

Open solution to the Santander Value Prediction Challenge 🐠

🏁 API client for Kaggle

No description or website provided.

Common library for serving TensorFlow, XGBoost and scikit-learn models in production.

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

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

住房月租金预测大数据赛TOP1