Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
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From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.
An offline recommender system backend based on collaborative filtering written in Go.
Run LLM backends, APIs, frontends, and services with one command.
Julia-language backend combined with the Jupyter interactive environment.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Can you spot the DeepFake? Detect Fakes challenges you to discern AI-manipulated videos from real videos. Can you do better than an algorithm?
Apply AI to everyday challenges in the comfort of your terminal. Help’s to get better results with tried and tested library of prompt pattern’s.
A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.