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A latent text-to-image diffusion model
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
An open-source, low-code machine learning library in Python
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.
Repo for the Deep Reinforcement Learning Nanodegree program
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Scenarios, tutorials and demos for Autonomous Driving
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Pandas Cookbook, published by Packt
Udacity's Self-Driving Car Nanodegree project files and notes.
[WIP] Examples for the Intro to ML with Kubeflow book
A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deployment.
Build Data Lake using Open Source tools
Distributed AI with the Ray Framework Course
