Take a look at the top 10 artificial intelligence repositories on Github.

GitHub

GitHub has become increasingly popular in no time. This is one of the most popular platforms for coders and developers to host and share codes in a cooperative and collaborative environment. GitHub boasts millions of repositories in various domains. In this article, we will throw light on the top 10 artificial intelligence repositories on GitHub. Have a look!

TensorFlow

TensorFlow has gained wide recognition as an open-source framework for Machine learning and Artificial Intelligence. This GitHub repository was developed by Google Brain Team and contains various resources to learn. With the state-of-the-art models for computer vision, NLP, and recommendation systems, you are bound to generate highly accurate results on their datasets.

AdaNet

This is a lightweight TensorFlow-based network that is used for automatically learning high-quality models with the least expert interference. This AI repository on GitHub boasts easy usability, flexibility, speed, and a guarantee of learning.

BERT

BERT (Bidirectional Encoder Representations from Transformers) is the first unsupervised, deeply bidirectional system for pre-training NLP. Evidently enough, this AI repository contains TensorFlow code and pre-trained models for BERT, aimed at obtaining new state-of-the-art results on a significant number of NLP tasks.

Airflow

This Artificial intelligence repository focuses majorly on data processing. However, a point that is worth a mention is that Airflow has the opinion that tasks should ideally be idempotent. In simple terms, the results of the task will be the same, and will not create duplicated data in a destination system

Document Similarity

This is a beginner-level AI GitHub repository that evidently emphasises document similarity. The idea behind the document similarity application is to find the common topic discussed between the documents.

AI LEARNING

AI Learning is yet another most widely relied upon AI GitHub repository that consists of many lessons such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing, to name a few.

THE ALGORITHMS 

This GitHub repository is an exclusive Machine Learning sub-repository that contains various algorithms coded exclusively in Python. Here, you get codes on several regression techniques such as linear and polynomial regression. This repository finds immense application in predictive analysis for continuous data.

Scikit-learn

This AI repository on GitHub is widely recognized across the globe as it contains classification, regression, and clustering algorithms, as well as data-preparation and model-evaluation tools. Can it get any better than this?

AWESOME MACHINE LEARNING 

This GitHub repository has an organized list of machine learning libraries, frameworks, and tools in almost all the languages available. All in all, "Awesome Machine Learning" promotes a collective development environment for Machine Learning.

spaCy

spaCy is a library for advanced Natural Language Processing in Python. spaCy is that one repository that is built on the very latest research and was designed from day one to be used in real products.