Search Results for "code blocks 17.12"

LLM101n is an educational repository that walks you through building and understanding large language models from first principles. It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a small GPT-style model end to end. The repo often complements explanations with runnable notebooks or scripts, encouraging experimentation and modification. ...

...This project reimplements the ixy driver architecture in Rust, Go, C++, Zig, and possibly other languages, maintaining the same driver semantics and API so users can compare performance, expressivity, safety, and expressiveness trade-offs. The repository helps systems and networking learners understand how low-level I/O code behaves differently in memory-safe languages versus unsafe ones. Each language subdirectory includes build scripts, language-specific idioms (e.g. unsafe blocks in Rust), binding layers, and benchmarks for packet I/O and latency.

CSS Animation 101 is a tutorial resource that teaches the fundamentals of motion on the web using only CSS. It starts with core building blocks—transitions, transforms, and keyframes—and then layers in timing functions, delays, and choreography to create more expressive sequences. The material stresses clarity and maintainability, showing how to structure styles so animations are easy to reason about and adjust. Throughout, examples demonstrate practical use cases like button feedback,...

StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics.

...By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training.

JSCode is a simple XML representation of programs. The JSCode project provides tools to build programs in JSCode. The tools display code as blocks. You can output programs as Java or C or Mindscript for Lego RCX robots and more.