Hands-on generative-AI notebooks: a LangChain RAG pipeline built stage by stage (tokenizers → embeddings → Chroma/FAISS → retrieval → QA/chat), Streamlit & Gradio LLM apps, and GAN/VAE experiments in PyTorch.
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Asaf-Livne/raw-patch-attribution: Attribute an image to the model that generated it — from raw pixels, with a ~6M-parameter CNN (RPA).
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maziyarpanahi/ai-demos: Open-source AI demos you can understand, run, and remix — small, reproducible builds for vision, multimodal models, local or hosted inference, and more.
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