A neuro-symbolic framework for building applications with LLMs at the core.
Directory
Search results
Published directory entries matching your search.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
Get a daily podcast and newsletter, created for you by an AI.
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
List of AI tools suggested by lablab.ai for their hackathons.
Authors: Cal.com core team, Dexter Storey,.
Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Restore old photos or AI generated faces with GFPGAN.
Open-source machine learning framework by Google.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
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.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
Large Language Model Text Generation Inference.
Text preprocessing package for use in NLP tasks.
Creates, rewrites or summarizes written content with language models.
Flexible, high-performance serving system for machine learning models.
A concise, technical introduction by Andriy Burkov.
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.
Creates, rewrites or summarizes written content with language models.
Generative AI will enrich investors and be deployed against everyone else.