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EPFL Course - Optimization for Machine Learning - CS-439
This is a list of projects which have curated tasks specifically for new contributors. These issues are a great way to get started with a project, or to help share the load of working on open sourc…
Master programming by recreating your favorite technologies from scratch.
A collection of resources and papers on Diffusion Models
Examples and guides for using the OpenAI API
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
The repo contains books, tutorials and resources based on Eng Mohammed Hammad's recommendations.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A playbook for systematically maximizing the performance of deep learning models.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Curated list of project-based tutorials
A curated list of topics to start learning software engineering
All the available resources to master MLOPS from scratch
Practical course about Large Language Models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
I developped a course on quantum machine learning for École de Technologie Supérieure (Montréal, QC, CA).
Curated list of data science interview questions and answers
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
💯 Curated coding interview preparation materials for busy software engineers
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
A curated list of free courses & certifications.
Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.