Sascha Brossmann's Projects
12 Weeks, 24 Lessons, AI for All!
A programming framework for agentic AI. Join our Discord: https://discord.gg/pAbnFJrkgZ
Curated tutorials and resources for Large Language Models, AI Painting, and more.
This repo includes ChatGPT prompt curation to use ChatGPT better.
A curated list of awesome GPTs in the GPT Store
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
Official community-driven Azure AI Examples
A rough approximation of the Buchla 700 voice architecture in the Supercollider programming language.
Buchla 700 Source Code - Get the original here: http://users.ece.gatech.edu/lanterma/buchla700/
A collection of GPT system prompts and various prompt injection/leaking knowledge.
10 Weeks, 20 Lessons, Data Science for All!
An Obsidian Vault for Dataview and later Datacore examples
:smile: Dataset for Emotion Recognition Research
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Sample code and notebooks for Generative AI on Google Cloud
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
KaaS - Knowledge as a Service
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
🧮 A collection of resources to learn mathematics for machine learning
🎓 Sharing machine learning course / lecture notes.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
:fire: Machine Learning Notebooks
Explanation to key concepts in ML
🔥Highlighting the top ML papers every week.
📺 Discover the latest machine learning / AI courses on YouTube.
A collection of resources to learn about MLOPs.