92 Open source projects that are alternatives of or similar to Hanzi_char_featurizer

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

A miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.

(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

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

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Feature Store for Machine Learning

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；

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Features selector based on the self selected-algorithm, loss function and validation method

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…

Data transformations for the ML era

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

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A curated list of feature engineering techniques for image and text machine learning

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Comprehensive toolkit for generating various numerical features of protein sequences

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

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

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Feature exploration for supervised learning

Code for Kaggle Data Science Competitions

🔥 Fast, simple sklearn-like feature processing for Go

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

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

EvalML is an AutoML library written in python.

Open solution to the Home Credit Default Risk 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.

DeltaPy - Tabular Data Augmentation (by @firmai)

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

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"

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Feature engineering package with sklearn like functionality

Complete-Life-Cycle-of-a-Data-Science-Project

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

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

使用sklearn做特征工程

A practical feature engineering handbook

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

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

Icicle Streaming Query Language

A New, Interactive Approach to Learning Data Science

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Fast k-Nearest Neighbors Classifier for Large Datasets

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

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

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

Package for Heart Rate Variability analysis in Python

[UNMAINTAINED] Automated machine learning for analytics & production

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

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

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

A collection of non-residential buildings for performance analysis and algorithm benchmarking

An open source python library for automated feature engineering