Lists (2)
Starred repositories
32
stars
written in Jupyter Notebook
Clear filter
21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Google Research
10 Weeks, 20 Lessons, Data Science for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
StableLM: Stability AI Language Models
Companion webpage to the book "Mathematics For Machine Learning"
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
A collection of examples that show how to use CrewAI framework to automate workflows.
The Open Source Memory Layer For Autonomous Agents
Python interactive dashboards for learning data science
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Some ipython notebooks implementing AI algorithms
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)