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Learn how to design, develop, deploy and iterate on production-grade ML applications.
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Google Drive Public File Downloader when Curl/Wget Fails
Repository for TUTI (Template for UCAIP Training and Inference)
In-depth and hands-on practice for acing the exam.
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Coarse-grained lineage and tracing for machine learning pipelines.
Graph Neural Network Library for PyTorch
Source code accompanying O'Reilly book: Machine Learning Design Patterns
🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
An Open Source Machine Learning Framework for Everyone
😎 Awesome lists about all kinds of interesting topics
Everything you need to know to get the job.
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube
Synthesizing and manipulating 2048x1024 images with conditional GANs
Semi-supervised GAN in "Improved Techniques for Training GANs"
Computer Vision Nanodegree program from Udacity
PyTorch Computer Vision Cookbook, Published by Packt
Revise Java with Practical examples with OOP concepts.