In a short period, GitHub has grown in popularity. This is a popular platform for coders and developers to host and share code in a cooperative and collaborative environment. GitHub has millions of repositories in a variety of fields. In this article, we will shed light on the top ten GitHub artificial intelligence repositories.
- TensorFlow
TensorFlow is a well-known open-source framework for machine learning and artificial intelligence. Google Brain Team created this GitHub repository, which contains a variety of learning resources. You can expect highly accurate results on their datasets if you use cutting-edge models for computer vision, NLP, and recommendation systems.
- AdaNet
This is a lightweight TensorFlow-based network for automatically learning high-quality models with minimal expert intervention. This GitHub AI repository boasts ease of use, flexibility, speed, and a learning guarantee.
- BERT
The first unsupervised, deeply bidirectional system for pre-training NLP is BERT (Bidirectional Encoder Representations from Transformers). This AI repository contains TensorFlow code and pre-trained models for BERT, to obtain new state-of-the-art results on a wide range of NLP tasks.
- Airflow
This Artificial Intelligence repository is primarily concerned with data processing. However, one point worth mentioning is that Airflow believes that tasks should ideally be idempotent. In layman’s terms, the task’s results will be the same and will not result in duplicated data in a destination system.
- Document Similarity
This is a GitHub repository for beginner-level AI that clearly emphasizes document similarity. The goal of the document similarity application is to identify the common topic discussed in the documents.
- AI Learning
AI Learning is yet another popular AI GitHub repository that contains a variety of lessons, including Machine Learning (ML), Deep Learning (DL), and Natural Language Processing, to name a few.
- The Algorithms
This GitHub repository is a Machine Learning sub-repository that only contains algorithms written in Python. You can find codes for various regression techniques such as linear and polynomial regression here. This repository is extremely useful in predictive analysis for continuous data.
- Scikit-learn
This GitHub AI repository is well-known around the world for its classification, regression, and clustering algorithms, as well as data-preparation and model-evaluation tools. Is it possible to get any better than this?
- Awesome Machine Learning
This GitHub repository contains a well-organized list of machine learning libraries, frameworks, and tools in almost every language. Overall, “Awesome Machine Learning” promotes a collaborative Machine Learning development environment.
- spaCy
spaCy is a Python library for advanced Natural Language Processing. spaCy is that one repository that is based on cutting-edge research and was designed from the start to be used in real-world products.
