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1. Understanding Machine Learning: From Theory to Algorithms (huji.ac.il)
449 points by Anon84 30 days ago | 53 comments
2. Writing an LLM from scratch, part 8 – trainable self-attention (gilesthomas.com)
380 points by gpjt 61 days ago | 31 comments
3. Rust for tokenising and parsing (xnacly.me)
285 points by thunderbong 5 months ago | 295 comments
4. Exercises to Learn Rust (rust-exercises.com)
752 points by sebg 11 months ago | 123 comments
5. ML Engineering Online Book (github.com/stas00)
349 points by tim_sw on Jan 23, 2024 | 36 comments
6. Open, rigorous and reproducible research: A practitioner’s handbook (2021) (stanforddatascience.github.io)
277 points by sieste on Nov 12, 2023 | 24 comments
7. An interactive intro to CRDTs (jakelazaroff.com)
922 points by jakelazaroff on Oct 4, 2023 | 130 comments
8. Top-Down LR Parsing (pavpanchekha.com)
110 points by ingve on March 14, 2023 | 34 comments
9. Advanced Compilers: Self-Guided Online Course (cornell.edu)
662 points by macrolocal on March 13, 2023 | 82 comments
10. A practical comparison of build and test speed between C++ and Rust (quick-lint-js.com)
314 points by cod1r on Jan 6, 2023 | 341 comments
11. SQLite Internals: Pages and B-trees (fly.io)
667 points by eatonphil on July 27, 2022 | 142 comments
12. Roguelike Tutorial in Rust (2019) (bracketproductions.com)
327 points by wsc981 on July 12, 2022 | 115 comments
13. Linux Kernel vs. DPDK: HTTP Performance Showdown (talawah.io)
168 points by talawahtech on July 4, 2022 | 71 comments
14. The Big List of Engineering Management Resources – March 2022 (practicallyleading.dev)
94 points by shawnaxsom on March 13, 2022 | 9 comments

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