286 Open source projects that are alternatives of or similar to Quora-Paraphrase-Question-Identification

Code for Kaggle Data Science Competitions

This is our team's solution report, which achieves top 10% (305/3307) in this competition.

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

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

Open solution to the Home Credit Default Risk challenge 🏡

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

Code for Kaggle and Offline Competitions

使用sklearn做特征工程

A siamese LSTM to detect sentence/question pairs.

Material of the Kaggle Berlin meetup group!

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

Fast k-Nearest Neighbors Classifier for Large Datasets

LAMA - automatic model creation framework

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Kaggle 120种狗分类，Gluon实现

No description or website provided.

An open source python library for automated feature engineering based on Genetic Programming

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)

Earthquake Prediction Challenge with LightGBM and XGBoost

6th place solution for Recruit-Restaurant-Visitor-Forecasting

Automated Time Series Forecasting

Open solution to the Cdiscount’s Image Classification Challenge

6th place solution

(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

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

A simplified version of featuretools for Spark

Code for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification

ZCA whitening in python

📊 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.

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

CNN histopathologic tumor identifier.

Text pair classification

Compilation of good Kaggle Kernels.

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Quora Q&A right from the command-line

Source code for the ACL workshop paper and Kaggle competition by Google AI team

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

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

🏆 Kaggle 8th place solution

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

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

The 18th Place Solution to Avito Demand Prediction Challenge

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle

Plant Disease Identification Using Convulutional Neural Network

Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

feng - feature engineering for machine-learning champions

Instahelp is a Q&A portal website similar to Quora

Open solution to the Airbus Ship Detection Challenge

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

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations