An interactive deep learning book with code, math, and discussions, based on the NumPy interface by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. With 900 pages, this seems to be one of the most comprehensive one-stop resources that goes from Linear Neural Networ. Use it to build a structured path from fundamentals to hands-on practice.
First open-source project — fully-local on a single RTX 3090 (Qwen3.6-27B) — to report 95% SimpleQA (n=500) and 77% xbench-DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. Use it as a repeatable review, validation or hardening pass.
This repo has all the resources you need to become an amazing data engineer!. Use it to build a structured path from fundamentals to hands-on practice.
An interactive deep learning book with code, math, and discussions, based on the NumPy interface by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. With 900 pages, this seems to be one of the most comprehensive one-stop resources that goes from Linear Neural Networ. Use it to build a structured path from fundamentals to hands-on practice.
First open-source project — fully-local on a single RTX 3090 (Qwen3.6-27B) — to report 95% SimpleQA (n=500) and 77% xbench-DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. Use it as a repeatable review, validation or hardening pass.
This repo has all the resources you need to become an amazing data engineer!. Use it to build a structured path from fundamentals to hands-on practice.