Showing 11 of 11 projects
A comprehensive open-source guide covering prompt engineering techniques, papers, notebooks, and resources for LLMs, RAG, and AI agents.
A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated list of awesome deep learning tutorials, projects, and communities.
The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.
A collection of five educational courses from Anthropic covering Claude API fundamentals, prompt engineering, evaluations, and tool use.
A curated list of reinforcement learning resources including theory, applications, code libraries, tutorials, and platforms.
An interactive visualization system for learning how Convolutional Neural Networks work through hands-on exploration.
A collection of handwritten notes, notebooks, and resources for Andrew Ng's Deep Learning Specialization on Coursera.
A visual roadmap and keyword mind map for students learning Natural Language Processing, from basics to SOTA models.
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