microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Kubernetes community content
AI Observability & Evaluation
Machine Learning Course, Sharif University of Technology
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Машинное обучение на ФКН ВШЭ
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
large population models
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Jupyter Interactive Notebook
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.