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The Age of AI has begun Bill Gates provides machine-learning models, research, training resources, or evaluation tools.
A concise, technical introduction by Andriy Burkov.
Flexible, high-performance serving system for machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
TextRazor provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
Text preprocessing package for use in NLP tasks.
TextBlob provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Large Language Model Text Generation Inference.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
Inference engine for TensorRT on Nvidia GPUs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.