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
464 results
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.
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.
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Library for exploring and validating machine learning data
MLDB is the Machine Learning Database
Machine Learning Time-Series Platform
Machine learning for transportation data imputation and prediction.
A Data Engineering & Machine Learning Knowledge Hub
A data pipeline framework for machine learning
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
24,544 repositories in the index in total.
