From deepfakes to natural language processing and more, the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.

Google AI Platform is one of the most comprehensive offerings in the public cloud to train, tune and deploy machine learning models.

Data Preparation is Key for Success in Machine Learning Projects Building an analytic model with machine learning or deep learning techniques is not easy.

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

$42 billion French telecom Orange SA is already using Skymind and its Skymind Intelligence Layer (SKIL) to build and deploy production code for deep-learning projects.

Like many open source GitHub projects, Deep-Live-Cam wraps together several existing software packages under a new interface (and is itself a fork of an earlier project called "roop").

Source Code Capital, which had invested in ByteDance and Meituan, is reportedly closing its early-stage investment programme.

Hugging Face, the New York City startup that maintains the popular open-source repository of machine learning and AI code of the same name and the open-source ChatGPT-rival Hugging Chat is ...