Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
Inference engine for TensorRT on Nvidia GPUs.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
Large Language Model Text Generation Inference.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
TextBlob provides machine-learning models, research, training resources, or evaluation tools.
Text preprocessing package for use in NLP tasks.
Creates, rewrites or summarizes written content with language models.
TextRazor provides machine-learning models, research, training resources, or evaluation tools.
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Flexible, high-performance serving system for machine learning models.
A concise, technical introduction by Andriy Burkov.
The Age of AI has begun Bill Gates provides machine-learning models, research, training resources, or evaluation tools.
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
Just like the IKEA Effect, but for the AI products. Try not to overenginner when working with LLMs.
Creates, rewrites or summarizes written content with language models.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.