361 Open source projects that are alternatives of or similar to Home Credit Default Risk

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

Pure Java implementation of XGBoost predictor for online prediction tasks.

Package for Heart Rate Variability analysis in Python

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Open solution to the Mapping Challenge 🌎

Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict transportation modes. This framework follows a sequence of five steps: (i) data preparation, where GPS points are grouped in trajectory samples; (ii) point features gen…

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Solution for Avito Duplicate Ads Detection competition

Bayesian Optimization and Grid Search for xgboost/lightgbm

⏱ Benchmarks of machine learning inference for Go

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

Stacked Generalization (Ensemble Learning)

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

Kaggle을 처음 접하는 사람들을 위한 문서

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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

This repository contains notes and projects of Data scientist track from dataquest course work.

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Provide an input CSV and a target field to predict, generate a model + code to run it.

Machine Learning Operator & Controller for Kubernetes

A repository to keep track of all the code that I end up writing for my blog posts.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

🔥 Fast, simple sklearn-like feature processing for Go

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

Comprehensive toolkit for generating various numerical features of protein sequences

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

https://events.kaspersky.com/hackathon/

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

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)

Personalized Medicine: Redefining Cancer Treatment with deep learning

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Engine X - 实时AI智能决策引擎、规则引擎、风控引擎、数据流引擎。 通过可视化界面进行规则配置，无需繁琐开发，节约人力，提升效率，实时监控，减少错误率，随时调整； 支持规则集、评分卡、决策树，名单库管理、机器学习模型、三方数据接入、定制化开发等；

Implemented an A/B Testing solution with the help of machine learning

Automated feature engineering for geospatial data

Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.

汉字字符特征提取器 (featurizer)，提取汉字的特征（发音特征、字形特征）用做深度学习的特征 ｜ A Chinese character feature extractor, which extracts the features of Chinese characters (pronunciation features, glyph features) as features for deep learning

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

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

A recommender system for discovering GitHub repos, built with Apache Spark

Code for National Data Science Bowl. 10th place.

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

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

Feature Store for Machine Learning

🏁 API client for Kaggle

A Python library for easy data analysis, visualization, exploration and modeling

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Kaggle datascience bowl 2017

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.

Code for RECRUIT Challenge. 5th place.

Diseases Detection from NIH Chest X-ray data

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

2017第一届腾讯社交广告高校算法大赛Rank28_code

Flexible time series feature extraction & processing