Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
ETL, document parsing, web crawling, synthetic data generation, annotation and dataset curation tooling.
Signals: data-engineering, etl, data-pipeline, web-scraping, crawler, data-labeling, annotation-tool, synthetic-data
466 results
100+ SQL Scripts - PostgreSQL, MySQL, Oracle, Google BigQuery, MariaDB, AWS Athena. DBA, Analytics, DevOps, performance engineering. Google BigQuery ML machine learning classification.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
An exercise in unsupervised machine learning: Extract Article's Text in HTml documents.
Tools for extracting tables and results from Machine Learning papers
A library for machine learning research on motion capture data
:dart: Personal data science and machine learning toolbox
Python module for machine learning time series:
PowerGraph: A framework for large-scale machine learning and graph computation.
A Machine Learning System for Data Enrichment.
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Code repository for the online course Feature Selection for Machine Learning
Code repository for the online course Feature Engineering for Machine Learning
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative Trading.etc)
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
24,535 repositories in the index in total.
