. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
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Dify supports deploying, serving, monitoring, or operating AI and machine-learning systems.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
A deep learning-based translation library between 50 languages, built with transformers.
DLib has C++ and Python interfaces for face detection and training general object detectors.
DocketAI — built on Replit. Update this description to reflect the app.
Free AI domain generator with availability check and price comparison.
Dominodatalab supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Shared knowledge makes agents faster and more reliable.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Python library for experiment metrics logging into simply formatted local files.
An evolutionary optimization library.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
Private AI for Mac that redacts sensitive data before any cloud call. Built for lawyers, consultants & accountants. Run fully offline.
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
Talk by Princeton professor Arvind Narayanan.