- Shanghai JiaoTong University
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《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
A straightforward method for training your LLM, from downloading data to generating text.
A reading list for SRAM-based Compute-In-Memory (CIM) research.
Free and Open Source Reverse Engineering Platform powered by rizin
Ghidra is a software reverse engineering (SRE) framework
Single tabpage interface for easily cycling through diffs for all modified files for any git rev (actively maintained fork).
A CLI code-typing game that turns your source code into typing challenges
cuda-oxide is an experimental Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign languag…
Pytorch implementation of TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
>99.5% KaTeX syntax coverage. LaTeX math renderer in pure Rust. No JavaScript, no WebView, no DOM. One Rust core → iOS, Android, Flutter, Web, PNG. C ABI · WASM · Server-side PNG/SVG.
Hundreds of models & providers. One command to find what runs on your hardware.
上海交通大学 Beamer 模版 | Beamer template for Shanghai Jiao Tong University
cap153 / peek.nvim
Forked from toppair/peek.nvimMarkdown preview plugin for Neovim use default port 8888
Pytorch implementation of approximate multiplier-aware retraining for deep learning models
Join Discord: https://discord.gg/5TUQKqFWd / claw-code Rust port parity work - it is temporary work while claw-code repo is doing migration
The automatic work journal/time tracker. Privately turns your screen into a timeline of what you actually accomplished. Open-source and local-first.
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Blazing fast TUI download manager built in Go for power users
Installer Microsoft Office For MacOS
AeroSpace is an i3-like tiling window manager for macOS
Because `model.fit()` isn't an explanation
Elevate your AI research writing, no more tedious polishing ✨