Lists (4)
Starred repositories
37
results
for source starred repositories
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
Examples and guides for using the OpenAI API
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
This is a repo with links to everything you'd ever want to learn about data engineering
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The fastai book, published as Jupyter Notebooks
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Neural Networks: Zero to Hero
Anthropic's educational courses
12 Weeks, 24 Lessons, IoT for All!
StableLM: Stability AI Language Models
Reference PyTorch implementation and models for DINOv3
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
On the Theoretical Limitations of Embedding-Based Retrieval
Deep learning Bangla resources using TensorFlow
Learn Quantum Machine Learning
Unsloth fine-tuning resources.
Download torrent using google colab
All of the codes, assignments and quiz answers for Deep Learning Specialization Course on Coursera