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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

The best free AI courses and certificates for upskilling in 2026 - and I've tried them all

I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.
GitHub

PepGLAD: Full-Atom Peptide Design with Geometric Latent Diffusion

Changes for compatibilities and extended functionalities are saved in beta branch. Thank @Barry0121 for the help. These datasets are only used for benchmarking models. If you just want to use the ...
IEEE

NUAT-GAN: Generating Black-Box Natural Universal Adversarial Triggers for Text Classifiers Using Generative Adversarial Networks

Abstract: Recent works have demonstrated that text classifiers are vulnerable to universal adversarial triggers (UATs), which are concatenated to any original text from the dataset to mislead text ...
IEEE

Discrete Quantum Random Walks for Semantic Text Similarity

Abstract: Context-based determination of text similarity is a fundamental computation task that enables identification and attribution of emerging topics and narratives within and across information ...