Example notebooks and guides showing how to accomplish common tasks with the OpenAI API.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
Examples and guides for using the Gemini API
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
The Python Code Tutorials
This repository helps you learn Python and Machine Learning from scratch.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
GenMedia Creative Studio is a generative media user experience highlighting the use of Gemini, Gemini Omni, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence
Python API for Deequ
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
interactive notebooks from Planet Engineering
En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.