133 Open source projects that are alternatives of or similar to clink

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

A schema-aware Scala library for data transformation

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

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

An intuitive library to extract features from time series

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…

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

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

Paraphrase question identification using Feature Fusion Network (FFN).

Flexible time series feature extraction & processing

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.

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

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

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Automated feature engineering for geospatial data

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Code for Kaggle Data Science Competitions

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

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

Material of the Kaggle Berlin meetup group!

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

A lightweight and easy-to-use deep learning framework with neural architecture search.

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

A clean and simple data loading library for Continual Learning

Open solution to the Home Credit Default Risk challenge 🏡

🌊 Online machine learning in Python

A New, Interactive Approach to Learning Data Science

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

DeltaPy - Tabular Data Augmentation (by @firmai)

GitBook: OSCP RoadMap

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

Composable GAN framework with api and user interface

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"

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

[UNMAINTAINED] Automated machine learning for analytics & production

Vue前台 + Django3.1 + DjangoRestful Framework + Ant Design Pro V4后台 开发的在线教育网站及后台管理

No description or website provided.

Online examples from "Boost C++ Application Development Cookbook":

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.

Online feature-extraction and classification algorithm that learns representations of input patterns.

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

Parameter Server implementation in Apache Flink

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

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

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Free services, tools, articles and other resources for remote workers and distance learners

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

Icicle Streaming Query Language